Hello, welcome to another video of understanding thermodynamics. In this video we will introduce the concept of internal energy. The contents of this video include an introduction to the concept of internal energy. We will calculate the internal energy of gases for examples of real gases such as steam, ideal gases such as air and perfect gases such as helium. Now let us consider a crystal. The molecules in a crystal are tightly packed and they do not move around much. They may vibrate a bit and all molecules at temperatures higher than zero does but that is essentially all that they're doing. In contrast the molecules in a gas do move around at high velocities. If we heat up water some individual molecules will gain enough energy to break free of the bonds that keep them in the liquid phase and they will vaporize. The heat that was added to the liquid water increased the energy of the individual water molecules. The internal energy of the molecules in the vapor phase are therefore higher than the internal energy of the molecules in the liquid phase. We consider three types of kinetic energy associated with individual molecules. You get translational kinetic energy, rotational kinetic energy and vibrational kinetic energy. It is also possible that there is potential energy associated with inter-particle interaction. Particles may attract or repulse each other and energy may be required to bring them closer together or pull them apart. Internal energy is thus the sum of the total of all the microscopic kinetic and potential forms of energy. Now we will consider the determination of the internal energy of three types of gases, ideal gases, perfect gases and real gases. Let's start with real gases. Superheated steam is characterized as a real gas. The symbol for internal energy is U and its units is kilojoules per kilogram. The values of internal energy for steam can be found in the steam tables either in your handbook or on the internet. Now for this example the question asks us to determine U or the internal energy for steam at 10 kPa and 300 degrees Celsius. First we need to determine the phase. The saturated temperature of saturated steam at 10 kPa is 45.81 degrees Celsius. 300 degrees which is given to us in the question is thus bigger than 45 degrees Celsius and we can say that the steam is thus superheated and we can use the superheated steam tables. Now we can read the internal energy from the tables of superheated water. For pressure of 10 kPa and 300 degrees Celsius we get an internal energy of 2812.3. Now before we go on to the next example it can be shown that internal energy is an intensive variable. For a single phase substance if we specify the values of two intensive variables such as pressure and temperature we can determine the values of the others. Now let's have a look at another example showing this. The question asks determine the temperature of steam at 10 kPa with an internal energy of 2700 kilojoules per kilogram. First we need to determine the phase of the water. Steam at 10 kPa have a saturation internal energy of 2437.2 kilojoules per kilogram. The value given of 2700 kilojoules per kilogram is greater than 2437.2 thus we can say that the steam is superheated. Now if we look at the value given for internal energy of 2700 kilojoules per kilogram and we have a look at the tables you will see that the value falls between the internal energy for temperatures of 200 and 250 degrees Celsius. It is thus necessary that we need to interpolate to get the temperature between 200 and 250 degrees Celsius. So for an unknown value for temperature between 200 degrees and 250 degrees Celsius we get corresponding internal energies for at 200 degrees Celsius and for 250 degrees Celsius. The question has given us the value of internal energy and it wants us to determine the temperature which is unknown. We can thus determine the value of A which is the difference between our unknown value T and 250 degrees and we get an answer of 24.16 degrees Celsius. To get the value of T we take 250 and subtract A from it to get a final value of 225.8 degrees Celsius. Now let's look at an example where pressure is the unknown. Calculate the pressure of water at 200 degrees Celsius with an internal energy of 2616 kilojoules per kilogram. We know that the saturated internal energy of water at 200 degrees Celsius is 2594.2 kilojoules per kilogram and that is less than the given value for the internal energy of 2616 kilojoules per kilogram and we can thus assume that the water is a superheated vapor. So at 1000 kilo Pascal the internal energy at 200 degrees Celsius is 2622.3 kilojoules per kilogram. We also know that the internal energy at 1200 kilo Pascal and 200 degrees Celsius is 2612.9 kilojoules per kilogram. I will show in a later video how I got these values. We thus need to interpolate again and we get a value for pressure of 1134 kilo Pascal for water at 200 degrees Celsius and 2616 kilojoules per kilogram of internal energy. Now let's have a look at an ideal gas example. An ideal gas consists of hard spheres that collide elastically with each other and the walls of the container in which they are in. There is no interparticle attraction or repulsion, therefore there is no energy required to bring the particles closer together or pull them further apart. The internal energy of an ideal gas is dependent solely on the kinetic energy of the individual particles and internal energy is therefore dependent only on the temperature of the gas. The hotter the gas the higher the internal energy. Let's show this with an example. The value for internal energy of an ideal gas like air is found in tables such as the one shown here. You will note that internal energy is only a function of temperature. We can therefore determine the internal energy of air at 300 Kelvin which is 214.07 kilojoules per kilogram. We can now use the ideal gas law to determine the specific volume of the air using the value of pressure given to us as 200 kilo Pascal and we get a value of 0.4306 cubic meters per kilogram. As air is a single phase system it means if I specify the value of two independent intensive variables I can determine the value of the others as we just did above. Note however that internal energy and temperature for an ideal gas are not independent from each other. If I were asked to determine the specific volume of air at 300 Kelvin and internal energy of 214.07 kilojoules per kilogram I would not have been able to do it as internal energy and temperature are not independent. They are a function of each other. Now let's look at an example of a perfect gas. We can assume that the specific heats of mono atomic gases such as helium are constant and does not depend on temperature. We therefore can use the equation internal energy at temperature 2 minus the internal energy at temperature 1 equals the specific heat times the difference in temperature and this will give us the change in internal energy. Let's do an example to illustrate this. The temperature of argon changes from 300 Kelvin to 100 degrees Celsius. How much does the internal energy change? The answer is 22.84 kilojoules per kilogram. The temperature changes by 73.15 degrees Celsius or Kelvin. Remember the value of temperature difference expressed in Celsius or Kelvin is the same. We can also assume that these gases will obey the ideal gas law. We call ideal gases with constant specific heats perfect gases. So in summary we introduce the concept of internal energy as the sum total of all the microscopic forms of energy. Internal energy as an intensive variable its value can therefore be used with another intensive variable to fix the state and calculate the values of the other intensive variables. For an ideal gas internal energy is a function of temperature only and fixing the value of t and u does not fix the state as they are interdependent. For mono atomic gases where the specific heats is not a function of temperature we can use the equation delta u equals the specific heat value times delta t and lastly perfect gases are ideal gases whose specific heats are constant and that's it. The course notes which this video is based on is available on my website odromsblock.com. I'm also on Twitter. My Twitter handle is at asv90 and you can connect with me and ask any questions and I will gladly answer them. Thank you very much for watching and I will see you in the next video. Bye.


Greetings, everyone. This is James P. Madonna of Megalife 21 and Progressive Discussions. And before I go on to do my next video talk show, I am stopping by from my immediate area off Route 17 South in Hasbrook Heights, New Jersey, the one and only, the famous Bendick Steiner, as seen on the Jerry Seinfeld Netflix series, Comedians in Cars Getting Coffee. That's right. It is in my close area and I love it here. Outstanding food, outstanding coffee and I will go in soon before I go on to do my next show. Greetings, everyone. We live in the world of Trump Anzies, Donald Trump. Rudy Giuliani says, truth is not truth. Ridiculous, insane people that have perception that's not proven. But we also have, aside from Trump supporters, we have people that should be in a padded room. And not just Trump supporters. So, using Giuliani as an example, Rudy Giuliani says that, you know, that truth is not truth. You don't want to talk about slavery? You don't want to talk about anybody? Greetings. Welcome to Progressive Discussions. This is James P. Madonna. And I'm talking to these fine gentlemen in high school, high school, high school students. We're talking about how school is nowadays where teachers rush through one chapter per day, followed by an exam at the end of the week. Now, how are you supposed to be able to study and memorize everything by rushing through one chapter per day? That's one topic. Another topic is that when I was in tech school, what they did was they took the graduating senior students and for school credit, they had them work for free, almost like slave labor. And I know I discussed this in the past, years ago. And then once the graduating students finished school, then they get a new semester of graduating senior students and work for free again. So it's a revolving door of slave labor in American schools. I'm talking about tech school, college. Now in high school, they do give too much homework. They do rush through a chapter. What do you think about a chapter a day? Average is a lot. And there's a lot of textbooks they have to carry. It's a lot of studying. They just rush through it. But the thing about the senior students working for free, for school credit, that's how they sucker them into it. You get school credit if you work for an employer, if you're a graduating student. That's what we have to do this year. We work at the summer cap for free to get hours of ice cream. Oh, guess what? So they don't have to pay anybody. We're slaves. You guys want to be seen or just heard? He don't want to be seen or heard. He's probably a teacher. He goes through lessons very fast. That's a gym teacher and his mom's a teacher A. My mom's a real teacher. Oh, that's good. Now we're just talking about how they rush through one chapter per day. And it's really hard on students to rush through one chapter per day. And also if you go to tech school after high school, if you go to, let's say, tech school, they take the senior semester students, they have them work for school credit for free for an employer. And then when they graduate, they send another semester of senior students to work for free again. So it's like a revolving door of like legal slave labor. When you think about it, it's a scam. And the kids think, oh, wow, we're getting school credit. We're getting, you know, hands on experience. Now the employer loves it because now all the senior students are working for nothing. You know, it's a scam and they sucker you in that way. You know, another thing they sucker you in is if you want to apply for a grant to go to school, like a Pell Grant, they'll say you have to sign up for the military draft. That's the catch.  I'm not signing up for no draft to get the Pell Grant. I got grant, I got money from workforce, which is only $4,000. The tech school, Lincoln Tech wanted $10,000. So I said, sorry, $4,000 or nothing. I went to get up. The woman said, don't worry about it. Don't worry about the $10,000. It will take the $4,000. You can take the force. It's like buying a car. So you tell them, hey, man, that's it. I'm walking. $4,000 or nothing. So these are all like stuff they do in tech school too. One chapter a day. The slave labor thing. My uncle who's a retired electronic engineer, he was vice president of Westinghouse. He told me, listen, he told me, don't waste your time taking notes.  What you do is you take a highlighter marker, and whatever the teacher mentions from the textbook, you'll highlight that section. You only study what's highlighted. You don't have to ever take notes again. We don't own our textbooks. We don't buy them. No, I don't. Oh, you don't own them? No, they give it to us and then we use it every year so we can't write in them. Oh, no, I don't write in it. What I did was I highlighted it. They don't want you to highlight? Damn it. Well, I know when you leave, wait a minute, wait a minute. When you leave high school, I think you own them, that maybe that's why they didn't say anything to me. So I took like a chartreuse highlighter. Whatever the teacher said, they only read what's in the textbook. And the textbooks are outdated anyway. The textbooks, like the teacher told me, all these textbooks are outdated. So I did it. I studied from the highlighted section. I was like A minus B plus student average. All my exams. I made the dean's honors list, the whole Hulkin School of Business and medical sciences, whatever. Dean's honors list, I took not one note. I didn't write any notes in a notebook because the teacher's like talking and you're like, and if your writing is not great, you know, my writing is terrible. It's like a doctor. I can't even, when I'm writing fast, I can't understand my own writing. I said, why am I killing myself?  Don't take notes ever. Highlighting marker. So, actually, this is a pretty educational video. You have a stage name, or you want to give a first name? Big Daddy Rocco. Big Daddy Rocco? Like, oh, like, hey, Adrian. Big Daddy Rocco and the, I don't know, whatever. Partner, his vice president, the vice president, like when George Costanza and Seinfeld gave out the fake charities called the Human Fund, the Human Fund Foundation as a Christmas president, and it was fake. Now, we learned a lot here in almost eight minutes. Oh, no, it's only eight minutes. Oh, it felt like a year. It's a shame that, no, no, he contributed to it. We had a little help from their friend. Dana, what's your stage name? What's your stage name? Double White. Double White, Goat Shed and Big Daddy Rocco. Goat Shed? Goat Shed. Goat Shed, Double White, and Big Daddy Rocco. Big Daddy Rocco. Big Daddy Rocco. Big Daddy, this is hard-hitting truth from high school students from Bergen County, New Jersey. I'll leave it at that. All right. You got that? Let's see. Any other, oh, that's right. Oh, the subject about the very attractive teachers. All right. You remember in the news this blonde, this very attractive blonde teacher from Tampa, Florida was arrested for having an affair with a high school student. Well, guess what? The poor woman, the media made the poor woman look really terrible. But it was an older high school male, which cannot be corrupted, cannot be traumatized because they know everything. Believe me, they do. They know everything about the internet. They know everything about life. They know everything about everything. The teacher, the teacher was very, very, very pretty. And guess what? She was doing that young man a big favor. Okay. You can't traumatize a high school male if the teacher is hot-looking. That being said, after nine minutes, almost 10 minutes, I might as well let it run down to 10 minutes. Yes. I saw what that teacher looked like. She should never go to jail. She should have never been arrested. The one in Tampa, Florida. I wish I had teachers like that that did that to me. Are you kidding when I was 16 then? That's the one. Now, you see how smart this kid is? He got the teacher's photo up on his smartphone as I was talking. That's the one. Now, come on. Now, come on. If I was, even if I was freshman in high school, I wish I had a teacher like that locked the door when the kids left.  You can't traumatize a high school kid with a teacher that looks like that. Never. What do you think? You think she's A number one? Yeah. You see? Now, listen. We got George Jetson advanced 21st century high school students that are way above any other generation, even above the millennials, which can be assholes because they don't say thank you if you hold the door open.  But anyway. Yeah. Right. There you go. But that teacher, he showed the photo of that teacher. There is no way.  Let me tell you something. A teacher like that, you can't traumatize no young male, even though he is under 18. All is fair in love and war. And in this case, being seduced in school by a hot-looking blonde like that. Get her out of prison. I hope she's not in there. It's illegal. It's illegal just like moonshine. Moonshiners are illegal. You guys that make their own booze. And marijuana, which is really medicinal, marijuana destroys cancer cells. It is a whole long list of illnesses that marijuana cures. But because the government is not getting, I think once the government gets taxes off all these people, then it becomes legal. Moonshiners, people have been making booze for thousands of years. In Europe and other countries, young people are allowed to drink craft beer, wine, liquor. No problem. But that's another thing. Politicians don't have their hands in the pod. They make it illegal. That girl goes, that woman, that teacher. Yes, technically, it's not legal. But being that, young guys are, you know, young guys are very advanced. And young guys have been having situations with great-looking adult women like that for thousands of years. There's no way you can traumatize a young guy.  That's it. I've said what I had to say. We are over 13 minutes.  Hold on. Hold on, hold on. You got that? You got that now? You see her now? She doesn't look happy, but you know what? It doesn't matter. She doesn't even have to smile. She doesn't have to smile because she, to me, she made that young man's year. Maybe his entire childhood was... She's doing him a favor. Okay? That's it. Goodbye. Progress. Big Daddy rock out. Even though my regular video with a certain someone couldn't be done because certain someone is like... Got a few screws loose. Bye-bye. I was just talking to Big Daddy rock about the fact that since I have so many shows on the internet and they, and YouTube, Google, who owns YouTube puts their advertisement automatically on all the videos and the fact that they owed me money and they sent me an email telling me how much money they owed me, right? Now, get this. I never received the check. Nothing. And I still haven't received the check. So this is like another corporate scam similar to the scam we were talking about before with schools, tech schools, actually not just tech schools, high schools too because they're suckering high school students to work at summer camps, at summer camps, and they don't give you a penny, right? We got paid hours after we got paid but it's not too bad. It's not too bad? But they reimburse you? Yeah. Oh, okay, okay. But yeah, like with Google, YouTube, I mean... You know, you're letting companies advertise for free. They get free advertisement. They're supposed to be paying up. Damn right. Like that woman that was years ago, it was an old lady speaking of McDonald's. It was an old lady who spilled coffee, who was in a drive-thru, spills coffee on her lap and gets millions from McDonald's.    Like it's got the caution hot on it. Oh, caliente caution hot, okay. Yeah, but unless they lower the temperature. Yeah, the old woman, like she looked like the kind of old lady that would call the cops on everybody at the drop of a hat.


According to the National Coalition Against Domestic Violence, nearly 20 people per minute are physically abused by a partner in the U.S. Per year, this equates to more than 10 million women and men. Let's take steps together to end this census violence at the 13th annual Mayor's Walk Against Domestic Violence. Starting at 8.30 a.m. on Saturday, October 5th, the City of Columbia will be turning Finlay Park Purple and we would love for you to join us.


and we're back live here at dot com 2012 Splunk's user conference annual user conference we're here in Las Vegas broadcasting live from the Cube we're at the Cosmopolitan Hotel I am Jeff Kelly from wikibon.org I'm with my co-host Jeff Frick from Silicon Angle. Great we're back welcome everybody we are we're excited to keep the day rolling and I know you're probably getting tired looking at Jeff and Jeff so we've got somebody who's a little more fun to look at Michael Wilde the chief of awesome so if you if you've always aspired to have a great job at a great company I think chief of awesome would be be tough to tough to beat. I also go by Jeff. You can go by Jeff so we can get Jeff cube in the Cube in case you were a little slow because it has been a long day the rain has stopped the Sun is still not out and we're still having fun here at the Cube so again we're at the Cosmopolitan Hotel in Las Vegas if you're close by stop by if you're not joining the conversation by using the data journey hashtag on Twitter this is the third annual worldwide user conference comp 2012 it's over a thousand people the excitement is tremendous we've got the vendor fair out there people are slowly waiting for the coffee to roll away and something else to roll into its place as we get closer and closer to that time but we're happy to have Michael with us he's going to show us I think some some interesting things that you can do with Splunk we've heard lots of stories but as I say a picture is worth a thousand words and I don't know what that makes an app worth but this is a big diet show so we should be safe. Well first of all we have to we have to get a better understanding what the chief of awesome does. I understand you're also chief of tuxedo fitting. That and collating and filing as well so yeah I work in the CTO's office at Splunk and the main focus that I've had for the past six seven months is on social and mobile using those as data sources that go inside of Splunk and also helping customers or people with challenges around mobile whether it's an SDK or whether it's understanding how mobile impacts their environment so the social stuff is is really interesting to a lot of folks that see it because it's kind of a other than expected data source who would put in the Splunk when you put it in there the data really comes alive. So when we're talking social we're talking Facebook Twitter are we talking the actual content of updates and things like that and drawn correlations with other machine generated data and yeah sometimes right so that's a good use case I have a session coming up tomorrow or Thursday probably after everyone leaves at 2.45 with my friend David Carasso and and the interesting thing is there there is a very compelling use case for IT and marketing IT and the brand to collide right because when we have a service even the you know when people are talking about the cube they'll talk about how great it is or if for example let's say something has a problem they're going to tweet about that as well the marketing folks will understand that brand impact right away but the IT folks that are managing the systems might not necessarily be aware of it right and I did a search on the word site and taking Twitter data taking Twitter data in search on the word site and then the phrase is down you'd be surprised how many people will be happy to talk about their favorite site that's not quite working yet if you take that data and combine it with maybe the infrastructure data you could probably have a pretty good picture we're both groups that really have a sort of an understanding of how IT and brand are impacting each other so that's interesting but yeah data is coming from many of the social networks out there either publicly available or through partners and really don't have to build anything extra in Splunk it sort of just worked but it became magical when we started looking at it I'll show you guys some of that bit later and just to kind of as a measure of scale what is the kind of the social flow of data the social media data flow versus some of these machine data flows that you guys are involved with is it you know just infinitesimally small is it way way big is it small but growing faster we need to pay attention or is it just because we think it's relevant and it's a new important data stream that we want to play with it well I think it's the latter it's the important data stream they want to play with because of the the case that we talked about right some people need to look at social networking data for the purposes of just analyzing their brand or how their brand is perceived it is rare that most folks need the entire corpus of let's say Twitter or Tumblr or something like that but I've been working with a couple of the third-party re-syndicators of data one of them there's some folks running around here a company called Gnep they're out of Boulder and they provide access to the feeds directly so you don't have to go to Twitter and all these other companies but if you look at it on average if I was to take all that the entire social web and put it in Splunk if I were to do that based on the publicly available statistics you're probably talking about two to three terabytes a day if you were to ever index the whole thing most customers really wouldn't do that because they don't need it they need a very small time slice or a very small set of phrases around things that they're interested in okay some of those third-party providers provide that or even Twitter does as well all right cool so let's let's dig into some of the visuals we've got here and I know our audience loves to see kind of these types of products and actions some really compelling stuff so what do you have here for us so what's kind of fun is we we got started with social kind of a on accident the CTO and co-founder Eric Swan I don't know if you talked to him he kind of wrote me into doing a presentation at South by Southwest this year and it was about big data and I didn't want to do something related to firewalls because although firewalls are awesome I didn't think people at South by would really get it so I called up my friends at Gnep and said can I have some social networking data to show because it would be you know an easy thing for folks to understand and out of that we also created some videos and a few things you heard Godfrey talk about the social stuff at South by in in in his keynote and so we started looking at it there and we provided some dashboards for South by and then we had things like the Olympics come up we've got Splunk user conference so there's things going on and then all sorts of other random things on the social network so kind of starting in reverse let's look at Splunk user conference okay so what can we capture we captured all of the stream of data from coming from Foursquare right the social location-based network there's a venue here for Splunk user conference you can check in and then there's also people tweeting obviously and so we have a simple chart here just looking at a distribution of Foursquare check-ins versus tweets obviously it's people would check in maybe once but they would tweet thousands of times you know and this is just over the user conference I built this dashboard in about five minutes it's pretty much just looking at the data point and clicking and that's one of things I like about Splunk even six almost seven years later I've been here for that long it is really simple to use we can look at like the tweet volume here on you know from Monday where we had things like the pre-conference classes to when the actual keynote happens so you start seeing that right so this is naturally to the spike when when the conference starts to kick off the God first doing his presentation right you're probably these things like Loll's during lunch and during other popular time as people will show that my buddy David Carasso who works in the CTO's office he's the one who wrote the book on Splunk literally we have the book I just have the PDF I'm kind of digital I hope so I hope to meet him someday David one of his main focuses in computer science is a natural language processing so he's written some technology that looks at sentiment Splunk typically is good at numbers right statistics eating any kind of data we're doing sentiment analysis on text so we're looking at the actual text of the tweets and determining whether there's a positive or a negative sentiment there's always some measure of error but we have things like someone was talking about how one of the talks was going a bit slow and that you know we'll see a negative sentiment but overall you're not going to please everybody but people are really happy so far about the the conference as well and that's just coming off of tweets we started looking at hashtags here I mean we recommend that people start to tweet with the hashtags as well and what and we're just looking at a very small amount of Twitter data focused on certain terms that might be Splunk conf12 and a few others and then making sense out of them and then of course I can actually look at the live tweet stream that's coming right here so you know I don't know if I've got some issues here on silicon angle it's awesome and you know people are not getting sleep at conf12 because they're having a lot of fun that's great so being able to actually for the marketing people here in Splunk you can actually watch how people are feeling just right here in Splunk which is kind of cool yeah taking a little bit more on how you know useful this data can be what are some of the things you could potentially do and kind of the new correlations you might be able to make well some of the correlations you might be interested so if you're looking at social data you're looking at human behavior or human conversation so you might for example let's say look at the Splunk for Good project which is one of our corporate social responsibility projects out there they're doing some work around the elections right so we could take and look at and the other thing is like Splunk is a tool that not just nerds can use so you could get a feed if you were a marketing person go bring the data inside a Splunk and very quickly develop dashboards without having to hire a bunch of people to do that and we've even used David's sentiment stuff to look at sentiment about the two candidates which is pretty much about the same but then you're seeing bookmarks on Facebook which particular ones of people are actually bookmarking how are they creating bookmarks so that a brand might be concerned about how people are interacting with their web property what devices they're having and potentially what errors are occurring as well there's a lot of fun stuff here so if you start to look at things like four square right four squares the location based social network we mashed up this little dashboard but looking at things like hashtags trending this hour that's Twitter followers followers versus friends and this is all real-time data coming in how are people tweeting that's cute when I first started looking at four square data it gets a little bit interesting because you see people Twitter is conversation or square is doing so where are people checking in right now a lot of people actually check in at home for whatever reason so nobody breaks in we've had a lot of security conversations you know and I started looking at what types of places people are checking in where are they shopping Target and Walmart seem to like always go up and down as far as being ahead but then you start to wonder and the power of Splunk being able to take the next question in your head and drill in is why another reason why I like it because I do things in a very you know just ad hoc way I just give into my own ADD when I originally built this I wondered like okay who's actually hanging a target men versus women so you might for example be a major brand maybe your AT&T or something like that you want to know people are checking in at your stores or potentially checking in at stores that are not yours in that area you know even are you know the the the business is literally right next door social data is really nice and because you can put this all in one platform which is cool Starbucks is obviously the most popular coffee company in the world but you can start to look at that and begin to drill down and things and even look at well you know where are people working out and you know who's actually going to the gym so it gets really fun because the Splunk the Splunk engineering team has built enough things in here where you know a halfway smart person can start to look at the data and just point click and make some cool intelligence well that yeah I think that's a really important point to reiterate because you know we hear a lot about the lack of skilled data scientists and other kind of business analysts with these really deep skills needed for things like Kadoop and other analytic approaches so the easier the tool the lower the barrier to entry in terms of users and of course adoption so what I really like as well though is the ability to drill down you mentioned kind of you wanted to ad hoc analysis right because one of the things about big data is you don't necessarily know where the data is going to take you correct so you kind of need that ability to to kind of me anger if you will make you show us a little bit more about that yeah drill down yeah I mean some of the interesting things here's here's a fun one well we'll actually do some drill down literally so one of the cool things about four square is it provides light latitude and longitude okay so if we were to take that latitude and do something like run a search in Splunk but get to the maps here we'll run a search in Splunk and look at things like who's actually having a cocktail right now in the world wow so let's hold on it's gonna pull this up should be sweeping across from the east as five o'clock is somewhere east of Denver right now you know what I like to have fun 24 hours a day so here we go I almost had it it wouldn't let me use my Mac just gotta get it right down here here we go I'll I'll go to another screen and pop it up here because my man using pretty long but we have an in you guys have probably been talking to folks about Splunk apps right they're out there and one of our partners at a company in Germany called SPP they wrote an app that integrates with Google Maps which is really cool so that means if I have things like latitude and longitude or other data points I can plot those things on a map and make potentially make that the very first part and just on the map it's not necessarily something you could ever just lean in a pile of analytics because you know your own ability to look at a particular part of the country in the world would be the thing that you know you would cause you to drill down so let's look at I'm just gonna search here on maps and grab my good old search so let's look at who's having a cocktail so if I click run here it's gonna run a search we're in real time there we go Eric Swan that's the guy there's two co-founders right there it's a floor wax and a dessert copy pretty much so this is a load up in a second here but so Splunk is running a search against four square now it's doing it in this case I'm looking in the past 15 minutes I can pop it up on real time and we're also gonna go ahead and it's gonna process it pull out the latitude and longitude and then plot that stuff on a map so what we see in front of us is clusters of activity and you know the thing I really like about this particular app is we could drill down into this and really almost go into the enemy of the state type view all the way down into one particular person because you might wonder like why what are they doing why are people this why is this cluster of 16 particular users here checking in on four square and as it goes down you see the clusters go farther and farther and farther and I'm sure if we I'm sure if we get down this thing is rendering right now the map itself so we'll let the thing go but the cool thing is if I go down to one and I just click on that what Splunk is basically gonna then do is drill into the raw data in this case you can customize it to your heart's content where the drill ends happen and they can fly off in other nice places but we can actually go down look on a map go down to a cluster and find one particular bar and figure out well not who we can say maybe it's a male or a female checking it at this particular venue I don't come up here in just a second as soon as this guy loads but it gets really interesting when you start playing with data so in some use cases that's going to be the kind of thing you want to do you want to drill down to an individual level in other use cases you're going to want to look at take a step back right and get a wider view right and that step back might be just even looking in a geographic area and because Splunk one of the key innovations we did at Splunk is we really created a time series engine and that turns out to be the vector that's almost most important on when you're looking at any kind of data because you know let's say it's how fast is your website running the next question is in the past 15 minutes right or this year or last year and because it's specifically designed for time series data it gets interesting because then I can start going well I can watch potentially I can watch people move right if I'm plotting on a map and I'm going over time I can watch the move I had a partner that did some really cool analysis of the New York Marathon so they got actually see where people were moving based on a mobile app that they created that was tracking location of course it was it was the user had to give up their location obviously but it was it was really cool so anyways but this guy popped up again so that one drill in that we did turned out to be someone's having a cocktail at a venue you know called whatever the name of this place is 56 fighter club and that's like really pretty much like now 11 you know or 15 minutes ago this is in GMT but the ability to just deal with the data and I'm not a data scientist right I'm like a half nerd half salesy person business student nerd and so I like things that I can that can easily give in to my own curiosity and literally all this stuff is just developed really really fast well yeah it's interesting because you know we're seeing data professionals really start to span all sorts of types of titles and use cases and you know it's not just okay I'm an analyst and this is what I do it's I can be in marketing I can be in finance I can be in sales and data is becoming really important to how I do my job yeah I mean you often people who have the data have the power right or at least the ability to make the decisions and you know because a beginning user yes you're gonna need a data scientist because there's a lot more than the average you know business or marketing or even IT person can necessarily figure out which you know statistics they want to run but if you can get started with averages counts and things like that over time then you get you know pretty powerful things very fast so so you mentioned a little bit about working some of the sentiment analysis stuff that's a really interesting use case so we've only got a couple minutes left so tell us a little bit about looking forward you guys are doing some cool stuff but what are we what's on the horizon for you and in the office of the CTO yeah the chief of awesome yeah the things that we're focused on so we have the CTO's office is it's got a couple of like sort of main initiatives integration with big data Eddie Satterley one of our guys that's in the office is focused on integrating splint with a lot of these big data platforms David Carroso is focused on the search processing language and obviously the book and writing some of the stuff around natural language processing I'm focusing on some of social and mobile and we're starting to do things like providing access to these social feeds through third parties giving people things I can download and then you know over the next year looking at talking to customers because people are really interested talking to them about what things they want out of social and then perhaps delivering a set of apps for them they can download for free on this one place if they have access to it interesting yeah we've talked a little bit about big data apps today and you know that's kind of an area that hasn't developed quite as quickly as I think some of us thought it would and really that's where you bring the power to an end user who not data scientists can do some really interesting things though with these applications that's where really the power of big data comes through to the kind of the average and it's not just because it's big right well right ultimately it doesn't matter how big it is and if you're not going to draw any value out of it what's the point of you know prepping it and putting it through all different processes and storing it agree ultimately in an application to make use of it totally agree all right very interesting all right well thanks so much for the demo yeah I'm very much appreciate some really cool stuff I'm Jeff Kelly of wikibon.org you're watching the cube live from dot com Splunk's annual user conference we're here at the cosmopolitan hotel in Las Vegas obviously we want to thank Splunk for having us here it's been a great show so far today we've had a full day of coverage lots of great interviews with executives and partners and customers so we will be right back in a moment myself Jeff Brick my co-host from Silicon angle and we will see you shortly after this


Ladies and gentlemen, very much in honor to be here as a representative of a carbon-intensive economy. I'm going to talk about the climate change mitigation issues in China using model only a challenge and we also see it an opportunity in particular an urgency to take actions and of course we have all policies in position and as you can see you know China we have a lot of number one in the world of course in population number one and here in Asia is able to look at number one in the world since year 2007 China in number one and the trend is continue to increase for a while as you can see the United States being somewhat civilized in all the time and they've been reducing for the past few years because of the economy being somewhat affected by you know the financial crisis and also a shift of energy mix from more carbon-intensive core to less carbon-intensive unconventional gas and of course the other that you know India so the developing economies may need some time to pick while the developing economy is like the UK and the United States is somewhat in a stabilizer already and this is another indication why you know the developing economy is although the you know the rate of emissions being relatively high already in terms of carbon emissions China is something about 50% more than the world average is very much close to the EU level already so in this case if we look at the income level is still very far behind as compared to the developed nations so this is a good indication to show the relationship between per capita emission of greenhouse gases and per capita income you know among the major economies in the basic member states and the EU member states if we look at the industrialization process China is still at the least stage of industrialization at national level only Beijing and Shanghai are in the post industrialization stage and the majority of the provinces are still at the late or even the early stage of industrialization this will take quite a while but if you look at the issue from a different perspective we can see from the tables here the manufacturer products many of them you know China has taken a big share of the world total look like that is steer and the China it's been something 40% of the total still production and if you look at the mobile production is something over 1.1 billion in year 2001 so we can easily see that you know the the Chinese the production has a rich level that physical expansion would not be that much any further and this is one you know in one indication we kind of gather and the other is that we if we look at from this number we can see you know a big proportion of these products is not consumed inside China but you know went to the outside of China for consumption outside of China and then we look at another you know challenge that's urbanization as you can see the line here the rural population has been declining all the time since the middle 1990s and the urban population been increasing all the time and by a year 2011 51.3% of population is in the urban sector already and if we would see that by 2030 if the urbanization rate is to reach 70% and then we would need another 20 percentage points of population in the urban sector that would have total something about 300 million the size of the United States so this is really a challenge and this is the only part of the story and the other part of story is that even you know we have the rate of urbanization at 51.3 but still we have some you know over 200 million people in the urban sector already but they are very much marginal they do not have any entitlement to urban services so-called rural migrants in urban areas so this give us the indication that urbanization is really a long process for China and in the urban areas when people have hair income and then they would like to have some sort of you know good better quality of living like you know ownership of automobile vehicles and the tragic gems in China is really an indication that the Chinese are following the American and the European way of living and of course we do have opportunities one of the opportunities that China has the growth of the economy has been relatively fast in the past decades and China is you know the second largest economy in the world in that sense that we would have some you know capabilities to do a little bit more but if you look from the other perspective in terms of capital terms and then China is only something you know rank around 100 you know in the world and another good piece of information is the demographic trend in China if you look you know from the the you know historical records of sciences sciences in China in the 1950s we had the first sciences and the latest one was conducted in 2010 there are quite a few you know very good trends one is you know growth rate of population in the 1980s per annum the rate of population growth was over 2 percent and by you know this century it's been you know below 0.5 already and last year 2011 the number is only 0.47 so this is a very good trend that you know the population in China it's been you know stabilizing and by 2030 or so Chinese population will start to decline so this is one and the other is that you know if you look at the family sites this might be somewhat you know not a good sign the family sites been reducing all the time in the 1980s per family sites we would have some you know four people and now it's only three people a nuclear family very much a typical so this would give us some indication that you know the energy consumption and the emission would you know be really a challenge to be reduced mitigation of climate change is not only a challenge but also an opportunity in particular we look we believe that there is a huge urgency to take actions one urgency is energy security um in year 1999 total energy consumption was only half of the United States and by year 2009 total energy consumption in China was more than the Americas and now is something new 15 percent more than the United States and we do not have the resource endowment is very much limited and we have to rely on huge input of of fossil fuels in particular oil and in 1993 China was a net exporter of raw oil and in year 2011 we imported 268 million tons of raw oil and this is really a challenge and we do envisage huge further increase of car ownership and the energy security really a challenge a challenge and then if we look at the other urgency for taking actions that's the climate security on on the 27th of july uh you know this year 2012 the a rainstorm in beijing killed 73 people and you can see you know flooding from the media I don't know if you pay attention to this you know natural disasters in China and the flooding and the drought you know this is a very much typical you know extreme climate events so climate security a priority for the Chinese to take actions because of these urgencies and we do believe that mitigation is not simply for climate protection but more for energy security for climate security and for sustainable development in China and that is why the Chinese has put forward so ambitious emission reduction targets and that's in in year 2009 the Chinese government announced the targets for 2020 that is 40 to 45 percent of carbon intensity reduction as compared to year 2005 and this is the highest you know in in the history of economic development nobody has seen such a high you know percentage reduction in terms of energy energy intensity and the carbon intensity and this target has been incorporated in the five year plans and if you look at the 12 seven year plan this has been you know disaggregated into provincial levels and the because you know China is diverse you know some parts are somewhat more more advanced than the others the inland parts somewhat less developed so you know the coast areas they are required to do a little more and the inland premises they are expected to do a little little bit less but these are somewhat mandatory they have to meet these targets otherwise you know the the head of the governor would be removed so this is very much powerful you know other administrative measures to implement such policies and then if you look at the measures and actions and energy efficiency in China with the small scale power generation units are simply you know fixed out and now all the power generation thermal power generation units they are super super critical most advanced in the world in terms of per unit kilometer hour of electricity generated the amount of coal used is the it's the least in in in the world and if you look at the automobile sector for the past 10 years the the standards have been created from euro one to euro four and euro five in the past decade only and in terms of renewable energy the progress has been also very impressive wind installed capacity installed capacity you know of wind turbine has been number one in in in the world and in terms of solar water haters if you go to china everywhere you can see you know on top of the roof solar haters this is sort of you know renewable energy and of course hydropower china is the biggest hydropower producer in in in the world and also very ambitious plans to keep hydropower in the next 10 or 20 years and the fourth station that's also everywhere in china and so this is you know the sector processing and also at a local government level we have a lot of initiatives as well if you look at the low carbon city initiative we do have you know targets very much clearly set for the individual military penalties and they have the measures identified for energy efficiency for renewable energy utilization and also for forest sinks as well and the chinese are very much aware that the emissions have been very high already and the the fact is that you know some of the cities in china the per capita emission in the urban area is higher than their international counterparts for instance in london and tokyo per capita emission something about five tons per capita and in china like you know tianjin is something you know 15 tons per capita already very much close to the us level so this is a huge challenge and that is why you know action has been taken at the city level and then you know we need to come to some of the conclusions the way forward we need to have a climate compatible development for climate security this is very much urgent the china has been prone to climate damages and and secondly we need to transform the energy system for secure energy supply and this has to be affordable sustainable and reliable and of course the consumption behavior has to be changed simply because you know there there's no possibility for the chinese to follow the american way of consumption even the european way of consumption so we are very much aware that you know this sorts of you know consumption behavior cannot sustain and the other is to to integrate environmental protection low carbon development and ecological restoration this has to be to reinforce one another instead of you know one target without consideration of the other and finally china is part of the world in a globalized world we have to work with the global community so that is why china is so positive in the international negotiations front and i do hope that's you know for climate change mitigation if we work together there must be a solution well thank you very much


Patients can have confidence in the PMC Lawson Cancer Center from our diagnostic capabilities to advanced genetic testing, clinical trials, and dedicated oncology pharmacy services. Our purpose is saving lives. Illegal dumping continues to be a problem in Pike County with many disposing of trash and tires in wooded areas. Illegal dumping can damage the environment which has a large impact on Pike County. The issue it now is is we're having a real bad problem with people wanting to dump tires illegally. And it costs the county a great amount of money to go and pick up the tires and dispose of them. People ain't going to want to come to the county whenever, every corner that they go around, you've got tires laying everywhere, you've got trash laying everywhere, and that knocks the county out of tourism and money. If trash is placed next to the road, Pike County's solid waste management will pick it up. In addition to recyclables, Jones Creek Recycling Center also accepts small quantities of tires. If you are caught illegal dumping and have to go to court, it could cost you a hefty fine. Because the mountains, they're beautiful, but we have people that are just throwing disposing of garbage illegally and it's really hurting the appearance of the county. For questions about trash pickup or dumpster rentals, go to Pike County Solid Waste Management on Facebook. For Mountain Top News, I'm Brianna Robinson.