In 1990 at age 20, I was hired to work on Ticketmaster's VAX operating system in VAX assembly language while going to school. I was basically, an intern, but we weren't called that. Peter Gadwa was a mentor. I worked there 1990-1996. Here are my ASU Transcripts. ASU Course Catalog (See page 261) In my career, I have been paid to program in VAX assembly, x86 assembly, 8051 assembly, 68000 assembly, PIC assembly and AvR assembly. In school, I took 5 courses that required assembly -- CSC226, CSC326 CSE421, CSE422 and CSE523. Dr. David Pheanis was dean. In about 1993, I got a 486 and was eager to try 32-bit mode, so I wrote a DOS program in TASM that changed to protected mode and never returned to DOS. Ticketmaster's OS was "VAXTMOS", so I called mine "Terry's Protected Mode OS, TPMOS". I had 0xB8000 text mode working, and echoed keyboard to scrn. I had simple multitasking and barely a MALLOC. I set it aside. In 2003, I resurrected TPMOS and installed FreeDOS to launch it. I used Visual Studio to edit my files when doing lots of editing, then booted FreeDOS, used TASM to compile and test it. Back in those days, FreeDOS ran in real mode. Today's FreeDOS is not real mode, it emulates with V8086 mode. DOSBox is not real mode either. I had started a company H.A.R.E., so I renamed TPMOS to HOPPY. With-in a month of resurrecting the operating system in 2003, I faced the question of how to handle the command line. I knew it must be the same as whatever scripting language I invented. The only problem was, I hated Unix Bash scripting. I could never remember it. As a regular C/C++ programmer, you don't really use bash often enough to memorize it. I thought, "What if I just use C/C++ for scripting!" In 2003, God told me to stick to 640x480 16 color. Therefore, I was not distracted like all the lemmings at www.osdev.net who go off and get lost in futile battles to write drivers for all the GPUs. Instead, I focused on more productive things, such as writing a JIT/AOT compiler and getting everything running with my own code. With-in a year, I had it assembling and compiling with my own compiler and assembler. I even wrote my compiler before a file system, because I was eager to do a compiler, since it is fun for me. Originally, I just put raw source code into my TASM bin file and invoked my compiler on the code sections store away in my DOS app. Don't worry, it started in real mode but changed to 32-bit mode, never returning to DOS. I named it Doors, Davos, J, LoseThos, SparrowOS and, finally, TempleOS. The awful name "LoseThos" name was not intentionally to suggest "loser". I wanted a companion operating system for Windows, so Windows/LoseThos. I thought it was hip saying lose the nerdy items like the movie, Platoon, where Elias tells Chris to 'crapcan' standard issue items. I wrote my own boot-loaders, so I didn't have to launch from DOS anymore. I was motivate by the disturbance in the market with the release of 64-bit CPUs in 2003. From the start, I made my compiler emulate 64-bit operations everywhere because I did not own an actual x86_64 CPU at first. My stack machine compiler used EDX:EAX and ECX:EBX. I had software interrupts or MUL64, DIV64 and MOD64. In 2007, I got a 64-bit CPU and made the conversion to true 64-bit mode. I didn't start the operating system as a work for God, but He directed my path along the way and kept saying it was His temple. Still I hesistated and kept it secular until, finally, Microsoft went nuclear with SecureBoot and UEFI. Then, I went nuclear and named it "TempleOS". I will command them on orders from God to UNDO THAT STUFF! ::/Doc/Demands.DD The CIA will bow to my orders. The CIA scum-bags, ruined the entire industry out of cowardice. Bill Gates said a company was like a castle -- you have to build walls unless you want to fight every person who comes along. They ruined the hardware with things like USB and PCI. God said to Bill Gates, "You ate your children in the siege."  God loved David that fought Goliath. The only PCI device driver I wrote was for was HDAudio. I thought it would become the undisputed king. Then, I ran VMware on a HDAudio native machine only to discover VMware wanted AC97. Forget that! I also discovered a major rats' nest just getting ATA/ATAPI port addresses using the PCI interface: ATA/ATAPI Ports from PCI It's very simple -- no PCI devices. We change the industry, like a boss. ::/Doc/StdTempleOSPC.DD * Collection of Binaries * Hoppy Archive * Hoppy Downloads * JustRighteous Archive * J Downloads * LoseThos Archive * LoseThos Downloads * LoseThos Videos * SparrowOS Archive * SparrowOS Downloads * J on OSNews * TempleOS Archive * TempleOS Downloads * TempleOS on Major Geeks * TempleOS on BetaNews * Start64 Search for "LoseThos" The ISO files are ISO9660 format. The Z files are compressed. I changed the Z compressed format at about the start of LoseThos. It has been 64-bit since 2007. 2010 Sep 12 http://www.osnews.com/story/23796/Recreational_Programming_With_LoseThos 2013 Oct 13 https://www.youtube.com/watch?v=6WgOWrT1yyI&feature=youtu.be&a 2014 Jan 20 http://www.techrepublic.com/blog/software-engineer/templeos-an-educational-tool-/ 2014 May 13 http://www.slate.fr/story/86549/temple-os-systeme-exploitation-parler-dieu 2014 Nov 25 http://motherboard.vice.com/read/gods-lonely-programmer http://www.osnews.com/story/28091/God_s_lonely_programmer 2015 Jun 08 http://www.codersnotes.com/notes/a-constructive-look-at-templeos http://www.osnews.com/story/28617/A_constructive_look_at_TempleOS 2015 Aug 03 http://www.golem.de/news/templeos-goettlicher-hardcore-1508-115081.html 2017 May 14 https://www.youtube.com/watch?v=TcqWok8AubE Archeology? In 2003, I visited the FBI voluntarily to say hello and give them a CD-ROM. Don't get chummy with police. They unearthed a warrant for missing a court date and locked me up. They had no use for the CD-ROM. It had TPMOS on it. I was at Ticketmaster for three weeks in 2002. I might have put my files on their computer, TPMOS. This is funny. Before occupying my time with a big project, I was wild and crazy in 2003. If I'm not mistaken, there might be a CDROM under the big transformer, here, at our house in the tunnel. The transformer was not seated and there was a crack I might have thrown a CDROM into in 2003. It would have TPMOS. Two times, I tried to delete my operating system, including all back-ups. I would suffer nightmares before the first time. Arnold Swartzenegger went after the wrong Gray Davis! This nightmare was not exactly it, but the BBC demons would hound me. I deleted it once with fear. I never use recycle bin, so I didn't think to empty it and I found it a couple days later. The second time, like Aaron Swartz was hounded, the BBC told me I was Iran and my nuclear program must stop. Finally, I read in the bible 5:38 Ye have heard that it hath been said, An eye for an eye, and a tooth for a tooth: 5:39 But I say unto you, That ye resist not evil: but whosoever shall smite thee on thy right cheek, turn to him the other also. 5:40 And if any man will sue thee at the law, and take away thy coat, let him have thy cloak also. 5:41 And whosoever shall compel thee to go a mile, go with him twain. 5:42 Give to him that asketh thee, and from him that would borrow of thee turn not thou away. 5:43 Ye have heard that it hath been said, Thou shalt love thy neighbour, and hate thine enemy. So, I deleted all back-ups and destroyed my CDROM back-ups. I found a copy on a download site a few days later. We have a plenty-good history. TPMOS would be nice, but there's plenty of proof of ownership. You'll even find the Linux mouse file temporarily tucked in there for reference. There's a Linux floppy driver that got removed. I think the J operating system was GPL. The modern TempleOS has no GPL code and is public domain. I give credit. ::/Doc/Credits.DD Stallman will be disappointed I never used gcc. I get his disciples listing it as GNU/TempleOS. That's wrong. * "VMware" is a trademark owned by VMware, Inc.
TempleOS History


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Pathfinding algorithms are a class of algorithms that find the shortest path from one node to another on a given graph.
myPath is a visualizing tool that shows how different pathfinding algorithms work.
The program's objective is to go from the start node to the end node using a pathfinding algorithm. The program can only move horizontally or vertically, with each movement having a cost of one. Once the program is complete, the shortest path will be illuminated in yellow.
Click the 'Algorithms' tab and select one of the algorithms from the dropdown menu.
If you want to learn more about the algorithms listed, then click the 'Info' button that is located at the bottom of the page.
Click or hold your mouse down over cells to create walls.
Press the Start button in the upper right-hand corner to start your pathfinding algorithm!
Hold the mouse down and drag the start/end node to a new location.
Click the 'Mazes' tab and select one of the algorithms from the dropdown menu and a randomized maze will be created for you.
If you want to revisit this tutorial, click the 'Tutorial' button at the end of the page.
If you want to see other projects that I've created, check out my github!
How It Works: In Dijkstra's algorithm, all of the nodes in the graph (except the starting node) are initialized with a distance equal to 'infinity.' These distances represents the cost to get from the starting node to the current node, with the starting node having a distance of zero. At the beginning of each iteration, the node with the smallest distance that hasn't been explored yet is visited. These nodes are stored in a min-heap data structure. When a node is visited, all of the neighbors' distances are updated, and if any of the neighbor's distances are lessened, then the algorithm pushes the node onto the min-heap. This continues until the end node has been reached.
Analysis: This is an OK algorithm for pathfinding. This algorithm performs very well in trees with unequal distances between nodes. But since this program only explores horizontally/vertically (with each move costing one), it behaves exactly the same as BFS. It is unweighted but guarantees the shortest path.
Fun Fact: Edsger Dijkstra invented this algorithm in twenty minutes.
How It Works: BFS starts at the root node and explores all of the neighbor nodes at the present depth prior to moving on to the nodes at the next depth level.
Analysis: This is an OK algorithm for pathfinding. It is unweighted but guarantees the shortest path.
Fun Fact: This algorithm was first invented in 1945 by Konrad Zuse and was submitted in his rejected PhD thesis, but was not published until 1972.
How It Works: DFS starts at the root node and explores as far as possible along each branch before backtracking.
Analysis: This is a poor algorithm for pathfinding. It is unweighted and does not guarantee the shortest path.
Fun Fact: This algorithm was first investigated in the 19th century by French Mathematician Charles Trémaux.
How It Works: A* uses the same min-heap data structure that is implimented in Dijkstra's, but it expands upon Dijkstra's criteria for selecting the next node to explore. Dijkstra's chooses the node with the smallest distance from the starting node to be explored next. However, A* ranks nodes differently: it has a heuristic function that evaluates how far a node has traveled from the starting node and how far it is from the end node. This heuristic function makes the algorithm 'smart' since it is able to expand in a direction of interest. My implimentation of A* uses Euclidean distance for the end node distance calculation.
Analysis: This is the one of the best algorithms for pathfinding. It is weighted and it guarantees the shortest path.
Fun Fact: A* was first created for the 'Shakey Project', which had the aim of building a mobile robot that could plan its own actions. It was later published in 1968 by Stanford Research Institute scientists.


LAPACK is a library of Fortran 77 subroutines for solving the most commonly occurring problems in numerical linear algebra. It has been designed to be efficient on a wide range of modern high-performance computers. The name LAPACK is an acronym for Linear Algebra PACKage.
http://www.netlib.org/lapack/


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Reuse of a tape that was previously recorded over, without recording over the entire thing, will leave the surrounding footage, and will continue on to it after the newly recorded footage runs out.
And sometimes this is used in a joke, to show somebody (generally the person who owns and then plays the tape) doing something hideously embarrassing. The guy involved gasps and stops the tape but it's too late - about a dozen of his closest friends have seen him singing, dancing or performing a sex act on tape and they're never going to forget it.
It doesn't work quite so well with CDs due to their differing format... but since there's still a lot of VHS players and tapes going around, it'll be used for quite a while yet.
Sometimes this trope can be played with where the guy involved accidentally hits fast-forward on the remote instead of stop or eject, and the tape fast-forwards to an even more humiliating scene, but usually it's played straight.
Compare and Contrast Taped-Over Turmoil.
Examples:
- A car advert (German, possibly Volkswagen) demonstrated their engineers' fixation with making their cars the best they could with an amateur video from one of the engineers taking geeky delight in the function of door locks, the design of the rear light cluster and so forth. At the end is footage of his wedding.
- The Simpsons' Big Damn Movie had Marge videotape her "Dear John" Letter to Homer over their wedding footage intentionally, so Homer would know just how badly he'd screwed up and how seriously she was taking leaving him. After seeing the tearful farewell from Marge, there was a little wedding footage left. He doesn't want to stop watching.
- Cloverfield: Hud is recording the movie over a home video of the main couple's trip to Coney Island while they were still together. Whenever Hud stops recording, we get a few moments of the footage he's recording over. Some artistic license is involved, because this would require Hud to be advancing the tape a few seconds before resuming each time rather than just starting at the same spot he left off.
- Mr. Woodcock features John Farley, a motivational speaker and writer conspiring to break up his mother's relationship with his abrasive and caustic former gym teacher. Farley's friend Nedderman tries to help by faking an extremely crude and laughably transparent tape depicting Woodcock's supposed cruelty, which they play in front of Woodcock and Mrs. Farley. Unfortunately, the tape goes on to show Nedderman delivering a spirited rant about how Woodcock doesn't deserve Farley's "hot mom", and goes into great detail about Mrs. Farley's "big ol' titties" and what he'd love to do to them. Needless to say, this does not go over well with anyone present.
- In Australiens, one character has a lump on his scrotum, which he is afraid might be prostate cancer. He borrows his sister's friend's camera to take a look at it, but she takes it back as aliens descend on Brisbane. At the end of the film, it's shown that his experiment prefaces the documentary of the invasion. It's shown on national TV.
- Lawrence Block's Matthew Scudder private eye novel A Dance at the Slaughterhouse begins with an innocent third-party getting hold of a videotape of The Dirty Dozen that also includes scenes of a pair of serial killers torturing and killing a victim. The killers also killed the guy who made the tape, but didn't expect him to have a copy hidden in a commercial cassette (which was subsequently sold to a video rental place).
- The Trope Namer is George Michael Bluth's eventual comment on a Running Gag on Arrested Development where, every time something is taped, it runs on to present footage George Michael shot of himself imitating scenes from The Phantom Menace in his garage (in the vein of Star Wars Kid).
George Michael: They're not expensive.
- It's Always Sunny in Philadelphia uses this as a Running Gag. Whenever the gang presents something they've filmed, it will ultimately end in a series of snippets they recorded in previous episodes. It begins with a callback to "Frank Sets Sweet Dee On Fire" in the episode "Paddy's Pub: Home Of The Original Kitten Mittens". Later episodes even include brief cuts of Charlie and Mac's Fight Milk Ad, Mac's Project Badass stunts, Dee's Irish Leprechaun impression, and Dennis's Election ad.
- Lost used a tape of the 2004 World Series as a plot point. Later, the same tape is used to show a different revelation by Ben; although the footage does not run on, there's a bit of confusion over the label:
Locke: Red Sox?Ben: I taped over the game.
- On Friends:
- In "The One Where Ross Can't Flirt", Joey's grandmother joins him and the gang to watch his part in an episode of Law & Order but his scene was cut out, so Joey quickly tapes a new one in his apartment and passes it off as his original scene just before the episode ends. Immediately after Joey's homemade scene ends, the tape switched to Chandler singing "Space Oddity" by David Bowie.

- Richard has a tape marked "Monica" on which he's taped a baseball game over a sex tape with a woman who isn't Monica. Whether he taped that over Monica isn't clear.
- When Ross is collecting some of his things from Carol and Susan, he finds his tape of half the Grand Finale of M*A*S*H and half of the Iranian hostages being released had become Carol and Susan's vacation and half of the Iranian hostages being released.
- One episode of Everybody Loves Raymond revolves around Ray's taping a football game over his wedding video.
- An episode of Ellen centred around Ellen taping an episode of thirtysomething over a friend's birth video.
- In one episode of The Thin Blue Line, Inspector Fowler attempts to record Inspector Grim confessing to planting evidence, but when he triumphantly plays back the cassette, all they hear is his girlfriend's workout routine. Boyle, Grim's crony, points out that Fowler needed to push down "play" and "record" for it to work. At the end of the episode, as Patricia does her workout, she hears what was recorded afterwards: the mayoress apparently propositioning Fowler.
- On an episode of M*A*S*H, Henry's wife sends him a filmstrip of his daughter's birthday party and everyone gathers in his office to watch. Tacked onto the end is an old clip of Henry goofing around with his next door neighbors, to Henry's chagrin and Hawkeye and Trapper's delight.
- In Veronica Mars the first episode has a cop showing a tape of a robbery in court, but instead of showing the correct footage, it cuts to the cop in question hiring a prostitute.
- On Law & Order, the cops come across a videotape of an apparent murder. The crime lab guy helps narrow down the source of the tape by finding footage of a bar mitzvah elsewhere on the tape
- The Armstrong and Miller Show: a family video message from Australian friends turns out to have been recorded over a kinky sex session. See it here.
- In one episode of Col'n Carpenter, Col'n's flatmate receives some home movies that have been transferred to Betamax. Col'n then accidentally uses the tape to record A Very Brady Easter. At the end of the episode, it turns out the company had sent her the wrong tape and these were actually someone else's home movies.
- CSI: In "Let the Seller Beware", the CSIs view a tape where a Trophy Wife had recorded a real estate sales pitch for her house. After the pitch ends, the tape continues and reveals a sex tape she had made showing she was sleeping with her stepson.
- The end of Manhunt has a bit of "video fuzz" before cutting to a weird, alien chef, implying the villain was using old tapes to record his Snuff Film.
- In the The Simpsons episode when Maude Flanders dies, Homer tries to make Ned a dating video...not fully taped over a recording of Marge giving birth to Maggie.
- Yet another Simpsons example: In Mother Simpson, Mr. Burns plays an audio cassette recording of Ride of the Valkyries as he storms the Simpsons' household... and the tape quickly cuts to Abba's Waterloo, which Smithers admits he recorded over the original music.
- In the South Park episode "Something You Can Do With Your Finger," Cartman shows a tape of his Boy Band to the mall manager, which continues on to a videotaped BDSM scene of his slut of a mother and Mr. Mackey.
- The Family Guy episode, "I Am Peter, Hear Me Roar," had a scene in which Peter admitted to Lois that he taped over Lois and Peter exchanging their wedding vows with a soft-core women in prison porno (not all of it; the porno cuts back to the wedding ending before anything explicit can be shown) and Lois realizes that she made a copy of the video (not knowing that Peter taped over the vow exchange) and sent it to her great-aunt who lives in a nursing home.
- In Stōked!, Johnny is supposed to video the opposing team for a tandem surf competition so Reef and Broseph can study their technique for weaknesses. Instead, he ends up shooting nothing but footage of his crush Emma surfing. The end of the tape shows him pretending the camera is Emma and kissing it; much to Reef and Broseph's amusement.
- In the Foster's Home for Imaginary Friends episode "One False Movie", Eduardo tapes over the end of the movie that Bloo and his friends made with an episode of his favorite show, an expy of Dora the Explorer. Hilarity Ensues as this happened at the wrap party for said film (the tape was lying in plain sight), which was due to be shown at a film festival later on.
- In the early days of pre-recorded home video, some companies allegedly re-used old porno tapes for kids' movies, which was fine until the kids' movies finished and the end of the porno movies was revealed...
- A man was arrested for bestiality after he loaned his video camera to his neighbours to tape their wedding.
- Strangely, some rewritable DVDs can suffer from this. If a DVD+RW (not tested with -RW) is quick-erased (marked for overwriting) and new content incorrectly recorded, the video recorded over the old content will play to the end, then the player playing the disc will freeze as it tries to make head or tail of the abrupt transition between the end of the new content and the middle of the old content. Then any parts of the old content that haven't been overwritten will play (if the new video takes up less space on the disc than the old one), usually with glitchy video or sound.
- A real problem for storage devices, being overwritten doesn't always mean being erased. Hard drives leave faint traces of the original data that special equipment can read. Flash drives are designed to avoid overwriting existing data whenever possible (too many writes to the same address eventually wears it out), thus leaving the original data completely intact.


| Version | CPU | Interface | Version | Comment |
|---|---|---|---|---|
| Version 4 (95, 98, Me), Version 5 (2000, XP, 2003), Version 6 (Vista, Seven) |
32 bit | Windows 95/98/Me/2000/XP/2003/Vista/Seven, 32 bits | ||
| GUI | v0.7.17 (without installer) |   | ||
| CLI | v0.7.17 |   | ||
| DLL | v0.7.17 (without installer) | Use this one for eMule integration | ||
| 64 bit | Windows XP/2003/Vista/Seven, 64 bits | |||
| GUI | v0.7.17 (without installer) |   | ||
| CLI | v0.7.17 |   | ||
| DLL | v0.7.17 (without installer) |   |


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|
Bullet Collision Detection & Physics Library
|
This class is used to compute the polar decomposition of a matrix. More...
#include <btPolarDecomposition.h>
Public Member Functions | |
| btPolarDecomposition (btScalar tolerance=btScalar(0.0001), unsigned int maxIterations=16) | |
| Creates an instance with optional parameters. More... | |
| unsigned int | decompose (const btMatrix3x3 &a, btMatrix3x3 &u, btMatrix3x3 &h) const |
| Decomposes a matrix into orthogonal and symmetric, positive-definite parts. More... | |
| unsigned int | maxIterations () const |
| Returns the maximum number of iterations that this algorithm will perform to achieve convergence. More... | |
Private Attributes | |
| btScalar | m_tolerance |
| unsigned int | m_maxIterations |
This class is used to compute the polar decomposition of a matrix.
In general, the polar decomposition factorizes a matrix, A, into two parts: a unitary matrix (U) and a positive, semi-definite Hermitian matrix (H). However, in this particular implementation the original matrix, A, is required to be a square 3x3 matrix with real elements.
Definition at line 14 of file btPolarDecomposition.h.
| btPolarDecomposition::btPolarDecomposition | ( | btScalar | tolerance = btScalar(0.0001) , |
| unsigned int | maxIterations = 16 |
||
| ) |
Creates an instance with optional parameters.
| tolerance | - the tolerance used to determine convergence of the algorithm |
| maxIterations | - the maximum number of iterations used to achieve convergence |
Definition at line 33 of file btPolarDecomposition.cpp.
| unsigned int btPolarDecomposition::decompose | ( | const btMatrix3x3 & | a, |
| btMatrix3x3 & | u, | ||
| btMatrix3x3 & | h | ||
| ) | const |
Decomposes a matrix into orthogonal and symmetric, positive-definite parts.
If the number of iterations returned by this function is equal to the maximum number of iterations, the algorithm has failed to converge.
| a | - the original matrix |
| u | - the resulting orthogonal matrix |
| h | - the resulting symmetric matrix |
Definition at line 38 of file btPolarDecomposition.cpp.
| unsigned int btPolarDecomposition::maxIterations | ( | ) | const |
Returns the maximum number of iterations that this algorithm will perform to achieve convergence.
Definition at line 85 of file btPolarDecomposition.cpp.
|
private |
Definition at line 51 of file btPolarDecomposition.h.
|
private |
Definition at line 50 of file btPolarDecomposition.h.


Before you begin
Depending on how you obtained the CDT, you might have also received a toolchain with a built-in CDT integration. However, if you downloaded the CDT from the Eclipse web site, then you will require a toolchain before you can build and debug any projects.
The standard CDT supports integration with the GNU toolchain. This includes GNU's make, gcc compiler, and gdb debugger utilities. If you require a toolchain to build software for your development host, this is the best choice to get started.
Each platform that runs the CDT requires different steps to acquire this toolchain.
Windows
For windows, MinGW and Cygwin are the two main platform choices for acquiring the GNU toolchain. It is important to understand the difference between them. Cygwin produces executables that use the Cygwin POSIX runtime. Note that this runtime is GPL licensed. MinGW produces native Windows executables that do not require a separate runtime.
For MinGW, it is recommended to use the MinGW installer, mingw-get, to manage your MinGW installation. Download and run the lateset mingw-get-inst package from the MinGW Downloads page. The CDT MinGW toolchain will find this install if it is located in the default C:\MinGW directory, the MinGW bin directory is placed in your path, or if the MinGW location is stored in the MINGW_HOME environment variable.
Note that the Wascana IDE has been discontinued.
Cygwin can be installed from the Cygwin site at http://www.cygwin.com. You need to manually select the gcc, gdb, and make packages to install the toolchain.
The Windows SDK provides the Visual C++ compiler and header files and libraries required to create Windows applications. The CDT Visual C++ build integration will find these files based on where you installed the SDK. No other setup is required.
Note: For this release, the integration should be considered beta quality. It is not recommended for production use.
Linux
All Linux distributions include the GNU toolchain. They may not, however, be installed by default. For instructions about installing the GNU toolchain for Linux, see the instructions for your particular distribution.
Mac OS X
The CDT supports the Apple GNU toolchain that is included in with the Xcode IDE. It can be downloaded from the Apple's developer site, http://developer.apple.comOther Platforms
The GNU toolchain is supported on all platforms that the CDT supports. For instructions about installing the GNU toolchain on your platform, see your platform vendor.


Excited Bride Pulls Down Her Dross To Twerk Hard On Wedding Day (+Video)
by BB JonesA random video has surfaced online which sees a bride pulling down her dross to twerk hard to probably show the world how happy she was with her wedding.
We don’t know the origin of the video or the name of the woman involved in this interesting scene but her action is the craziest thing we have witnessed of a wedding.
The interesting part is that the bride maids were in the same element as they also twerked to entertain the cheering guests.
It looks funny but weird too.
Watch the video:


Exceptions Help
Holodeck catches all second chance exceptions your application produces, and can be configured to catch all exceptions. If Holodeck intercepts first chance exceptions the exceptions are routed
through Holodeck first, as a first chance exception, then passed back to the
application to handle. If the application does not handle the exception it is
logged as a second chance exception. Otherwise Holodeck will only log second chance exceptions after the application has not handled them.
Exceptions Links
Exceptions Overview
Mini-Dump Overview
Exceptions Pane
Tips
Right click an exception to view the mini-dump information.
Copy exception details into a bug report for easier bug reproduction.
View the exception by right-clicking or double-clicking the exception in this pane. This will bring up Visual Studio.net, press f5 to start the mini-dump to see the line of code on which the bug occurred.


Something peculiar has happened to Canadian markets in 2019
by Tim ShufeltFor investors, 2019 has been The Year of Upside.
Every major asset class in Canada has participated in an unusual synchronized rise, upsetting the correlations that typically produce a mix of winners and losers in any given year.
Over at least the past 35 years, in fact, Canadian investors have not seen anything quite like it. Domestic stocks, bonds, crude oil, gold and even the Canadian dollar have posted a slate of year-to-date gains without modern precedent.
The market-wide ascent, which is also happening in the United States, has coincided with an easing of recession fears in recent weeks and a global shift toward lower interest rates.
“Because the central banks are on the case and keeping policy very, very easy, [the market] is almost disconnected from the fundamentals a little bit,” said Stephen Lingard, head of research at CI Investment’s multiasset team.
This state of affairs is almost certainly a temporary aberration rather than a rewriting of the rules of investing and portfolio construction, Mr. Lingard said. “If everything’s gone up together, does that mean that portfolio diversification is dead? I don’t think it does.”
One of the principles behind diversification is it helps stabilize investment returns because not all asset classes move in sync. Stocks and bonds, for instance, often move in opposite directions. Stocks tend to decline when investors, on average, are shying away from risk, pushing up the prices of relatively safe government and investment-grade corporate bonds. The inverse tends to be true in a “risk-on” environment: Investors plow money into equities and withdraw it from government debt.
The S&P/TSX Composite Index is up by 19 per cent so far this year and closed above 17,000 last week for the first time. “In a normal market, government bonds would by negative to flat in a year when equities are doing this well,” said Michael Greenberg, portfolio manager at Franklin Templeton Canada.
But the FTSE Canada Universe Bond Index – a broad measure of government and corporate bonds – has risen by 7.6 per cent this year, up to the end of October. That’s the Canadian bond market’s strongest performance since 2014.
Financial markets can break from their traditional patterns, particularly when central banks are pumping stimulus into the financial system. As the economic fallout from the U.S.-China trade dispute spread through the global manufacturing sector this year, central bankers moved aggressively to engineer a recovery.
In the third quarter of this year, nearly 60 per cent of global central banks cut interest rates – the highest share since the aftermath of the 2008 global financial crisis, according to UBS.
That monetary jolt fuelled gains in both stocks and bonds. Since bond prices rise as yields fall, the downward pressure on rates directly fuelled fixed-income gains.
Easy money also supports equities by encouraging risk-taking and making certain categories of equities, such as dividend payers, more attractive.
Gold, meanwhile, has gone on a tear of its own this year, hitting its highest price since 2013 in September. One of the biggest criticisms against gold historically is that it pays no yield. But more than US$12-trillion of global sovereign bonds currently trade at negative yields.
“In this environment, the argument not to hold gold is weakened,” Mr. Lingard said. Gold closed last week at US$1,468.50 an ounce. It started the year at about US$1,280.
It hasn’t exactly been a banner year for crude oil prices, on the other hand, although they have come well off their December lows as the global growth scare has eased. (Canadian energy stocks haven’t fared quite as well, in part because the heavy oil that comes out of Western Canada sells at a discount and natural gas prices are weak. An exchange-traded fund that tracks the S&P/TSX Capped Energy Index is down about 1 per cent this year.)
The overall sentiment that the economy has turned a corner would be strengthened by a continued cooling of global trade tensions, Mr. Greenberg said.
“But very quickly, we get to the next big concern, and it’s not that far down the road.” That would be the U.S. presidential campaign and election, which should keep markets fixated through next year.
And should the harmonized updraft in markets come to an abrupt halt, investors will be thankful for a decent weighting in defensive assets, including bonds, Mr. Lingard said.
“When it really goes wrong, you still see the benefits of owning fixed-income even at these overvalued levels.”
Good years
Years in which Canadian assets rose by at least 10 per cent*
| 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 YTD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| S&P/TSX | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | ||||||||||||||||||||
| Bonds | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | |||||||||||||||||
| Gold | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | ||||||||||||||||||||||
| Oil | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | ||||||||||||||||||||
| CAD | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES | YES |
Source: Bloomberg, Morningstar
* Gold Spot Price ($US); West Texas Intermediate ($US); For bonds, our minimum is a 7.5-per-cent gain in the FTSE Canada Universe Bond Index. CADUSD just had to be positive on the year.


If you have suggestions of tables you would like to see in this library and are not currently here, you can open an issue describing your suggestion. No previous knowledge of GitHub is needed to do this. Please read already existing issues to check whether someone else has made the same suggestion or reported the same error before creating a new issue.
If you have tables you would like to add to this library and are comfortable using GitHub, fork the repository and submit a pull request to the develop branch with any additions you want to make. Please read the guidelines below about on code, branching and folder structure conventions before opening a pull request.
If you have tables you would like to add to this library but you are not comfortable using GitHub, you can send an e-mail to<EMAIL_ADDRESS>Use the subject “Contribution to R Table Replication” and attach a zipped folder containing (1) the de-identified data used to create the table, and (2) the code that creates the tables from such data.
Please read the guidelines below on code conventions before sending your contribution. We also recommend that you create a GitHub account and include your GitHub handle in the e-mail so you can receive credit for your contribution.
If your are using our template Markdown file, the HTML file and the tables will be automatically saved in the correct folder, as long as the Markdown file is saved in the Library folder. The only adjustment to the template needed for this to replace table_result
in file paths in the template file with (author and year)_(table number)
(eg. Fafchamps2014_table1
).


{% extends "pages/base_bccfpage.html" %} {% block content %}
Are you sure you would like to cancel your membership?


| NAME | ADDRESS | CONTACT | RATINGS |
|---|---|---|---|
| Punjab Khad Store India | Shop Number 10, Main Road, Grain Market, Jalandhar - 144008, New Grain Market | +91-9988096965 | 4.6 |
| Chopra Khad Store | Outside Jawahar Market, Shahkot, Jalandhar City, Jalandhar - 144001 | +91-9815165970 | - |
| Shiva Enterprises Nakodar | Jalandhar City, Jalandhar - 144001, Near Nurmhal Road | +91-9855730498 | 3 |
| Tiwari Group | Braut Nagar, Bajpa Colony, Satna, Madhya Pradesh, Jalandhar - 144001 | +91-9855165970 | - |
| Talwan Cooper Agr Service | Mohali | +91-9888294390 | 4.5 |


A wildling reared in the feral depths of Dartmoor, Jeremy will be giving his alfresco lifestyle a boost up to full scale primitivism on the dusty track to Mongolia. A man whose adventurous childhood has been credited for inspiring Disney’s latest Mowgli, he’ll be bringing the steely grit of Clint Eastwood and the charming practicality of Bear Grylls to our roaming ramble. Either found cycling up and down the UK, or motorbiking his way round on some rudimentary two wheeler, he's not one for walking - his feet never touch the ground. As our resident first-aider, mechanic and official mountain man (yes, really), Jeremy will be acting as the team’s metaphorical bubble-wrap.
A lady truly worthy of the title Rambler, Katyln’s been a London native for the past 6 years, but has spent most of that time drifting round the world, rolling from one adventure to the next. Although she has the unenviable position of being the only girl in the gang, she’ll be whipping the chaps into an orderly procession across the globe, whilst sprinkling a certain hipster style onto our rag-tag group. Bringing her East end street smarts to the downtown alleys of Istanbul and beyond, Katlyn’s the brains of the band who’ll be leading the Mongolian charge from the front of the pack.
Product Manager by day (we don’t know what that is either), sleepy dreamer by night, Pete will be bringing misguided optimism and a startlingly pensive stare to the team. Guilty of brandishing amateur works of poetry at the unsuspecting throngs of London’s pubs, and fond of lurking in the backdrop of the occasional feature film, this wannabe artiste will spend most of his time gazing wistfully into the panoramic vistas of the East. Bringing no mechanical know-how or any practical skills of note, he’s banking on plain sailing from here to Mongolia. (Pete dislikes talking about himself in the third person, but has been known to make exceptions).
With more names than a bigamous royal, Reuben’s sprawling identity will promise plenty of delayed border crossings and countless raised eyebrows in the countries to come. Despite his provision of bureaucratic turmoil, Reuben will be keeping the team chirpy and chipper with his indestructible cheeriness. Known for his famously unusual (and slightly suspicious) over-indulgence in hats, this rambunctious fellow will be making sure we're all well rested on the road through his adamant insistence to sleep in any and all places. Although well meaning in his organisation, he’s been guilty of a slightly fumbling attitude towards valuables in the past, so we’ve quietly cut key copies for the Yaris...just in case.
Software developer and aspiring mechanic, Rory will be bolstering spirits along the trail with his unending arsenal of woeful dad-jokes. A man chiselled from the lowlands of Scotland, you can often spy him traipsing through London’s winter in nothing more than a pair of flip flops. Despite his criminal footwear and dismissal of all coat-wearers as ‘jessies’, Rory's outdoorsy aspirations haven't yet got him further than Regent’s park. Once a professional Muay Thai boxer, he’ll be keeping us safe from highwaymen and gypsies, along with satisfying the hunger of the troop with his plentiful supply of Twixes.
Rory and Jeremy will be taking these two 1993 Yamaha TT250Rs as their steeds for the road ahead. At a blistering max speed of 60-ish mph, there’ll be less majestic cantering and more coughing, spluttering and stalling from this old pair of Japanese warriors. With the aim of getting more gizmos and gadgets than a pimp my ride gone wrong, the guys are currently acquiring any mods and accessories they can muster to help improve the chances of this dirt bike duo. To top it off, Rory’s promised a wheelie in each country, so the tough little thumpers have circus acrobatics added to their list of duties too...thanks Rory.
Forget Land Rovers, BMWs and Jeeps, the mighty Toyota Yaris is the car you want for a 10,000 mile overland journey. The unbridled power of its 1L engine will be hurtling Katyln, Reuben and Pete from Goodwood to Ulan Ude with ease...or perhaps not. The trio are (desperately) scrabbling around for ways to make their beloved little Yaris slightly more suitable for the bumps and scrapes of what’s to come. This scrappy little chappie will be punching well above its weight along the dusty desert tracks and high mountain passes, but fear not, Pete’s mum has a Yaris and he’s driven it round Oxfordshire, so we reckon the gang’s golden.


--- title: "5.2 — Is the Law Efficient? Redux — Class Content" citeproc: false bibliography: ../../static/bib/references.bib csl: ../../static/bib/chicago-syllabus-no-bib.csl output: blogdown::html_page: template: ../../pandoc/toc-title_html.template toc: true editor_options: chunk_output_type: console ---
Thursday, May 6, 2021
TBD
Problem Set 3 is due by PDF upload to Blackboard Assignments by 11:59 PM EST Sunday May 9th.


public interface TableSDK
Datastore
objects that represent Data Studio datastores i.e. file or JDBC.
It is intended for use by process flow steps that need to create or append new data from other sources.| Modifier and Type | Method and Description |
|---|---|
void |
cacheData(long userId)
Cache the table's data.
|
boolean |
clearCachedData(long userId)
Clears the cached data for the table.
|
void |
deleteFile(long userId)
Deletes the table completely.
|
List<String> |
getAttributeNames()
get a list of attribute names for the table
|
Long |
getCacheCreatedDate(long userId)
Returns when the cached data was created.
|
String |
getDescription()
Gets the user-defined description of the table.
|
String |
getDisplayName()
Gets the display name for the table.
|
String |
getExternalName()
Gets the external name for the table.
|
long |
getId()
Gets the unique Id of the table.
|
long |
getRowCount(long userId)
Returns the rowcount for the table if available.
|
String |
getType()
Gets the type of the table.
|
boolean |
isCached(long userId)
Whether the table has cached data or not.
|
boolean |
isCaching(long userId)
Returns true if the caching process is running.
|
File |
openFile()
Function to allow custom steps to open table files for reading/writing/appending with data from other sources.
|
long getId()
String getDisplayName()
String getExternalName()
String getDescription()
String getType()
boolean isCached(long userId)
userId
- - obtained in the SDK using the getUserId() functionLong getCacheCreatedDate(long userId)
userId
- - obtained in the SDK using the getUserId() functionboolean clearCachedData(long userId)
userId
- - obtained in the SDK using the getUserId() functionvoid cacheData(long userId) throws SDKException
userId
- - obtained in the SDK using the getUserId() functionSDKException
- if an error occurs during cachingboolean isCaching(long userId)
userId
- - obtained in the SDK using the getUserId() functionlong getRowCount(long userId)
userId
- - obtained in the SDK using the getUserId() functionList<String> getAttributeNames()
File openFile() throws SDKException
SDKException
if the file cannot be found or cannot be accessed in the desired waySDKException
- if file cannot be openedvoid deleteFile(long userId) throws SDKException
userId
- - obtained in the SDK using the getUserId() functionSDKException
- if file cannot be deletedCopyright © 2019. All rights reserved.


Get(WindowStyle)
• 0 (zero) if the window is a document window
• 1 if the window is a floating document window
• 2 if the window is a dialog windowReturns 0 if the current window is a document window when the function is evaluated.Returns 1 if the current window is a floating document window when the function is evaluated.Returns 2 if the current window is a dialog window when the function is evaluated.


public class WKBWriter
extends java.lang.Object
Geometry
into Well-Known Binary format.
Supports use of an OutStream
, which allows easy use
with arbitary byte stream sinks.
The WKB format is specified in the OGC Simple Features for SQL specification. This implementation also supports the Extended WKB standard. Extended WKB allows writing 3-dimensional coordinates and including the geometry SRID value. The presence of 3D coordinates is signified by setting the high bit of the wkbType word. The presence of an SRID is signified by setting the third bit of the wkbType word. EWKB format is upward compatible with the original SFS WKB format.
Empty Points cannot be represented in WKB; an
IllegalArgumentException
will be thrown if one is
written.
The WKB specification does not support representing LinearRing
s;
they will be written as LineString
s.
This class is designed to support reuse of a single instance to read multiple geometries. This class is not thread-safe; each thread should create its own instance.
The specification uses a syntax language similar to that used in the C language. Bitfields are specified from hi-order to lo-order bits.
byte = 1 byte uint32 = 32 bit unsigned integer (4 bytes) double = double precision number (8 bytes) abstract Point { } Point2D extends Point { double x; double y; } Point3D extends Point { double x; double y; double z; } LinearRing { uint32 numPoints; Point points[numPoints]; } enum wkbGeometryType { wkbPoint = 1, wkbLineString = 2, wkbPolygon = 3, wkbMultiPoint = 4, wkbMultiLineString = 5, wkbMultiPolygon = 6, wkbGeometryCollection = 7 } enum byteOrder { wkbXDR = 0, // Big Endian wkbNDR = 1 // Little Endian } WKBType { uint32 wkbGeometryType : 8; // values from enum wkbGeometryType } EWKBType { uint32 is3D : 1; // 0 = 2D, 1 = 3D uint32 noData1 : 1; uint32 hasSRID : 1; // 0, no, 1 = yes uint32 noData2 : 21; uint32 wkbGeometryType : 8; // values from enum wkbGeometryType } abstract WKBGeometry { byte byteOrder; // values from enum byteOrder EWKBType wkbType [ uint32 srid; ] // only if hasSRID = yes } WKBPoint extends WKBGeometry { Point point; } WKBLineString extends WKBGeometry { uint32 numCoords; Point points[numCoords]; } WKBPolygon extends WKBGeometry { uint32 numRings; LinearRing rings[numRings]; } WKBMultiPoint extends WKBGeometry { uint32 numElems; WKBPoint elems[numElems]; } WKBMultiLineString extends WKBGeometry { uint32 numElems; WKBLineString elems[numElems]; } wkbMultiPolygon extends WKBGeometry { uint32 numElems; WKBPolygon elems[numElems]; } WKBGeometryCollection extends WKBGeometry { uint32 numElems; WKBGeometry elems[numElems]; }
WKBReader
| Constructor and Description |
|---|
WKBWriter()
Creates a writer that writes
Geometry s with
output dimension = 2 and BIG_ENDIAN byte order |
WKBWriter(int outputDimension)
Creates a writer that writes
Geometry s with
the given dimension (2 or 3) for output coordinates
and ByteOrderValues.BIG_ENDIAN byte order. |
WKBWriter(int outputDimension,
boolean includeSRID)
Creates a writer that writes
Geometry s with
the given dimension (2 or 3) for output coordinates
and ByteOrderValues.BIG_ENDIAN byte order. |
WKBWriter(int outputDimension,
int byteOrder)
Creates a writer that writes
Geometry s with
the given dimension (2 or 3) for output coordinates
and byte order
If the input geometry has a small coordinate dimension,
coordinates will be padded with Coordinate.NULL_ORDINATE . |
WKBWriter(int outputDimension,
int byteOrder,
boolean includeSRID)
Creates a writer that writes
Geometry s with
the given dimension (2 or 3) for output coordinates
and byte order. |
| Modifier and Type | Method and Description |
|---|---|
static java.lang.String |
bytesToHex(byte[] bytes)
Deprecated.
|
static java.lang.String |
toHex(byte[] bytes)
Converts a byte array to a hexadecimal string.
|
byte[] |
write(Geometry geom)
Writes a
Geometry into a byte array. |
void |
write(Geometry geom,
OutStream os)
|
public WKBWriter()
Geometry
s with
output dimension = 2 and BIG_ENDIAN byte orderpublic WKBWriter(int outputDimension)
Geometry
s with
the given dimension (2 or 3) for output coordinates
and ByteOrderValues.BIG_ENDIAN
byte order.
If the input geometry has a small coordinate dimension,
coordinates will be padded with Coordinate.NULL_ORDINATE
.outputDimension
- the coordinate dimension to output (2 or 3)public WKBWriter(int outputDimension, boolean includeSRID)
Geometry
s with
the given dimension (2 or 3) for output coordinates
and ByteOrderValues.BIG_ENDIAN
byte order. This constructor also
takes a flag to control whether srid information will be
written.
If the input geometry has a smaller coordinate dimension,
coordinates will be padded with Coordinate.NULL_ORDINATE
.outputDimension
- the coordinate dimension to output (2 or 3)includeSRID
- indicates whether SRID should be writtenpublic WKBWriter(int outputDimension, int byteOrder)
Geometry
s with
the given dimension (2 or 3) for output coordinates
and byte order
If the input geometry has a small coordinate dimension,
coordinates will be padded with Coordinate.NULL_ORDINATE
.outputDimension
- the coordinate dimension to output (2 or 3)byteOrder
- the byte ordering to usepublic WKBWriter(int outputDimension, int byteOrder, boolean includeSRID)
Geometry
s with
the given dimension (2 or 3) for output coordinates
and byte order. This constructor also takes a flag to
control whether srid information will be written.
If the input geometry has a small coordinate dimension,
coordinates will be padded with Coordinate.NULL_ORDINATE
.outputDimension
- the coordinate dimension to output (2 or 3)byteOrder
- the byte ordering to useincludeSRID
- indicates whether SRID should be writtenpublic static java.lang.String bytesToHex(byte[] bytes)
bytes
- public static java.lang.String toHex(byte[] bytes)
bytes
- a byte arraypublic byte[] write(Geometry geom)
Geometry
into a byte array.geom
- the geometry to write


Guard Seizi:
Built right on the Gulf of Innadril, Heine is divided into blocks. Waterways run between the blocks, which are connected by bridges.
Here in the northwest block, you'll find stores and blacksmith shops; the guilds are in the northeast. The central block contains the city square, as well as the temple and a warehouse.
Ask about the local lord and tax rate.
Quest.


I am a Computer Science student at Georgia Tech. I love Computer Science and I love working on my own personal programming projects. You can view many of them on the projects page. I am very driven and determined to finish projects that I have started. Whenever I run into a tough challenge, I never give up, but I persevere through it and I solve the problem in one way or another.
Feel free to send me an email at<EMAIL_ADDRESS>with questions regarding my projects or possible opportunities such as project offers or possible ventures.


Example of using SVG images
test1/
webservice endpoint
- This simply prints out the values of the params (q, u)
that are passed in via the URL
test2/
webservice endpoint
- This takes the value of the zip
param that's passed via the URL
and if the value is "94301" or "94040" then it prints out city names, otherwise
it just prints out the zip code.
weather/
webservice endpoint
- This takes the value of the param zip
(which is a zip code) and
uses the openweathermap.org
webservice in order to get the
current weather conditions for this zip code. Then it returns a JSON object
with the current temperature in Celsius and Fahrenheit, and the name of the
city. In case there's a mistake the the zip code format, it returns an JSON
object w/ error messages in it. Also, if no zip
URL param is passed,
then it uses 94301
.
weather.html
weather app
- This uses the weather/
endpoint to create a simple UI that
allows the user to get the current temperature for a given zip code.
github
and heroku


Organize site, sample, and sensor data all in one place!
The goal of rodm2 is to make it easy to use the ODM2 data model in R, in order to promote collaboration between ecologists, hydrologists, and soil scientists. It is intended to help manage complex field data using a sophisticated relational data model without requiring prior knowledge of advanced database principles.
How does it work?
Package functions create parameterized SQL statements to populate and query a flat file (sqlite) database using inputs such as site names, variables, and date ranges. Interactive features (shiny gadgets) are included to facilitate the use of a controlled vocabulary and represent complex hierarchical site and sampling designs within the database structure.
You can install this package from GitHub with:
# install.packages("devtools")
devtools::install_github("khondula/rodm2")
create_sqlite()
or connect_sqlite()
db_describe_%METADATA TYPE%()
functionsdb_annotate()
and db_add_relations()
db_insert_results_%RESULT TYPE%()
db_get_results()
The basic steps of using rodm2 are:
Load rodm2 and create a connection to your database. If you don’t have an existing database, create an empty ODM2 sqlite database and connection using create_sqlite(connect = TRUE)
or if you are starting from an existing database use connect_sqlite()
. You can view and edit this database using DB Browser for SQLite outside of R.
library(rodm2)
db <- rodm2::create_sqlite(connect = TRUE)
Add information about sites, methods, measured variables, etc. using db_describe_%TABLE%
functions.
db_describe_site(db,
site_code = "501R1",
sitetypecv = "Site")
#> Site 501R1 has been entered into the samplingfeatures table.
db_describe_method(db,
methodname = "Sonic anemometer",
methodcode = "SA",
methodtypecv = "dataRetrieval")
#> Sonic anemometer has been added to the Methods table.
Optionally, use annotations and relationships with db_annotate()
and db_add_relations()
to label site groups and represent sampling designs.
Data are uploaded using “insert” functions for specific types of results such as time series, samples, measurements, or a vertical profile. For time series data, the data to upload should have data values for one or more variables collected at one site using the same instrument. It needs at least 2 timepoints, and a “Timestamp column” formatted as YYYY-MM-DD HH:MM:SS. For example:
| Timestamp | wd | ws | gustspeed |
|---|---|---|---|
| 2018-06-27 13:45:00 | 180 | 1.0 | 2.0 |
| 2018-06-27 13:55:00 | 170 | 1.5 | 2.5 |
The type of data in each column needs to be described in a “variables list” with terms and units from a controlled vocabulary. Create this list for a dataset using a shiny gadget (opens in the Viewer pane of RStudio) with the function make_vars_list()
.
vars_list <- make_vars_list(ts_data)
Once the vars_list
is created, use it in the db_insert_results_ts()
function to upload data along with its associated metadata
db_insert_results_ts(db,
datavalues = ts_data,
methodcode = "SA",
site_code = "501R1",
variables = vars_list,
sampledmedium = "air")
#> Warning: Closing open result set, pending rows
Data associated with samples taken in the field and a property measured in the lab needs to have at least 4 columns corresponding to Timestamp, Site ID, Sample ID, and data value.
| Timestamp | Site | Sample | DOC |
|---|---|---|---|
| 2018-06-27 13:45:00 | 501R1 | DOC001 | 10.0 |
| 2018-07-27 13:55:00 | 501R1 | DOC002 | 12.3 |
Sample data are inserted with db_insert_results_samples()
which requires metadata about both the method used to collect samples as well as the method used to analyze the sample. Provide details using db_describe_%METADATA%()
functions.
db_describe_method(db, methodname = "Shimadzu",
methodtypecv = "specimenAnalysis",
methodcode = "Shimadzu")
#> Warning: Closing open result set, pending rows
#> Shimadzu has been added to the Methods table.
db_describe_method(db, methodname = "Water sample",
methodtypecv = "specimenCollection",
methodcode = "watersamp")
#> Water sample has been added to the Methods table.
vars_list <- make_vars_list(sample_data)
db_insert_results_samples(db,
sample_data,
field_method = "watersamp",
lab_method = "Shimadzu",
variables = vars_list,
sampledmedium = "liquidAqueous")
#> DOC has been added to the Variables table.
#> Sample DOC001 and associated data have been entered.
#> Sample DOC002 and associated data have been entered.
The insert function assumes that Site IDs are in a column called “Site” and Sample IDs are in a column called “Sample” but you can specify otherwise with the arguments site_code_col
and sample_code_col
. See more options for specifying metadata in the documentation for db_insert_results_samples()
db_get_results()
returns a list of dataframes with each type of result requested. By default retrieves data associated with all site codes and variables.
results_data <- db_get_results(db, result_type = c("ts", "sample"))
str(results_data)
#> List of 3
#> $ Time_series_data:'data.frame': 6 obs. of 6 variables:
#> ..$ ValueDateTime : chr [1:6] "2018-06-27 13:55:00" "2018-06-27 13:45:00" "2018-06-27 13:45:00" "2018-06-27 13:55:00" ...
#> ..$ DataValue : num [1:6] 170 180 1 1.5 2 2.5
#> ..$ UnitsName : chr [1:6] "Degree" "Degree" "Meter per Second" "Meter per Second" ...
#> ..$ VariableNameCV : chr [1:6] "Wind direction" "Wind direction" "Wind speed" "Wind speed" ...
#> ..$ SamplingFeatureCode: chr [1:6] "501R1" "501R1" "501R1" "501R1" ...
#> ..$ ProcessingLevelCode: chr [1:6] "Raw data" "Raw data" "Raw data" "Raw data" ...
#> $ Sample_data :'data.frame': 2 obs. of 7 variables:
#> ..$ ValueDateTime : chr [1:2] "2018-06-27 13:45:00" "2018-07-27 13:55:00"
#> ..$ DataValue : num [1:2] 10 12.3
#> ..$ UnitsName : chr [1:2] "Milligram per Liter" "Milligram per Liter"
#> ..$ VariableNameCV : chr [1:2] "Carbon, dissolved organic" "Carbon, dissolved organic"
#> ..$ SamplingFeatureCode: chr [1:2] "DOC001" "DOC002"
#> ..$ ProcessingLevelCode: chr [1:2] "Raw data" "Raw data"
#> ..$ Site : chr [1:2] "501R1" "501R1"
#> $ Measurement_data: NULL
Use list subsetting to get a data frame with time series (ts) results.
ts_data <- results_data[["Time_series_data"]]
# OR
ts_data <- results_data$Time_series_data
head(ts_data)
#> ValueDateTime DataValue UnitsName VariableNameCV
#> 1 2018-06-27 13:55:00 170.0 Degree Wind direction
#> 2 2018-06-27 13:45:00 180.0 Degree Wind direction
#> 3 2018-06-27 13:45:00 1.0 Meter per Second Wind speed
#> 4 2018-06-27 13:55:00 1.5 Meter per Second Wind speed
#> 5 2018-06-27 13:45:00 2.0 Meter per Second Wind gust speed
#> 6 2018-06-27 13:55:00 2.5 Meter per Second Wind gust speed
#> SamplingFeatureCode ProcessingLevelCode
#> 1 501R1 Raw data
#> 2 501R1 Raw data
#> 3 501R1 Raw data
#> 4 501R1 Raw data
#> 5 501R1 Raw data
#> 6 501R1 Raw data
rodm2
is being designed to work either with an existing ODM2 database on a server (e.g. PostgreSQL), or with spreadsheet files that aren’t (yet!) in a relational database. This package is intended to help populate, query, and visualize data that is organized with the ODM2 structure. It should not be necessary to understand ODM2 or SQL but it may help! See here for an overview of the data structure.
This project is made possible through support from rOpenSci and SESYNC.
Read about the details and development of ODM2 in the open access paper in Environmental Modelling & Software:
Horsburgh, J. S., Aufdenkampe, A. K., Mayorga, E., Lehnert, K. A., Hsu, L., Song, L., Spackman Jones, A., Damiano, S. G., Tarboton, D. G., Valentine, D., Zaslavsky, I., Whitenack, T. (2016). Observations Data Model 2: A community information model for spatially discrete Earth observations, Environmental Modelling & Software, 79, 55-74, http://dx.doi.org/10.1016/j.envsoft.2016.01.010


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Welcome to the development home of the JetS3t suite. This site is intended for Java developers and other people actively involved in the JetS3t project who use the mailing lists, discussion forums, bug/issue tracking and CVS codebase repository features of this site.
The latest version is 0.7.0, please download it via the public site: JetS3t Downloads.
This project's main public web site is hosted in S3 itself here: JetS3t Home. This is where general users of the JetS3t library and applications will find detailed documentation such as application manuals, and programmer guides. The public web site also provides access to an online version of the Cockpit application, and links to JetS3t Downloads where the public release archives are made available.
JetS3t is a free, open-source Java toolkit and application suite for the Amazon Simple Storage Service (Amazon S3). The toolkit provides Java programmers with a powerful yet simple API for interacting with S3 and managing data stored there, while the applications allow anyone to easily manage and interact with their S3 accounts.
This project is licensed under the Apache License, Version 2.0. In short, this license means JetS3t is free for commercial or non-commercial use, and you may modify and/or redistribute it if you wish.
JetS3t was started as a hobbyist project to simply backup files to S3 but with feedback, support and sponsorship from our users it has since grown into a very powerful suite including an underlying toolkit API and some widely-used applications built on top of this toolkit.
The JetS3t suite will continue to evolve as new feature are added to Amazon's S3 and as we receive your feedback, so get involved and help us improve the suite to better meet your needs.
For more details, see the Amazon S3 home page.
If you're ready to give it a try, you can sign up right now.
This project has no relationship with Amazon, we just think the S3 service is cool.
JetS3t, pronounced "jet-set", stands for the Java S3 toolkit, with some extra letters added to make it into a word connoting high-flying, free-wheeling luxury. Come and join the jet-set, you won't regret it.


THtmlViewer, TFrameViewer, and TFrameBrowser components
property SelLength: LongInt;
The SelLength property gives the number of characters currently selected. Its value may be positive or negative indicating the direction of selection. The starting value of the selection is given by the SelStart property.
The SelLength property may be set to 0 to clear text selection.


Save £220 on this KitchenAid stand mixer, as used on The Great British Bake Off
by Cat EllisSave £220 on this KitchenAid stand mixer, as used on The Great British Bake Off
Ready, set, bake!
(Image credit: Future)
This year's Currys Black Friday deals have started early, with a huge £220 knocked off the price of this 4.8-litre KitchenAid Artisan Stand Mixer – the same model used in the Great British Bake Off tent.
For a limited time, this powerful mixer is down from £499 to just £279. It comes with three attachments for whisking, kneading and mixing (just push and twist to change them) and 10 speed settings to suit different recipes.
It's perfect for cake, bread, meringue, pastry and much more, and once your creations are in the oven, you can simply pop the bowl and attachments in the dishwasher.
The KitchenAid Artistan Stand Mixer is supplied with a five-year guarantee, and is solidly built so you can be confident it will keep mixing perfectly after hundreds of bakes. Currys hasn't specified how long the deal will last though, so move fast if you're hungry for a bargain.
TechRadar is scouring every retailer and rounding up all the top deals over the Black Friday period, and we’ve put all the best Black Friday deals and Cyber Monday deals in easy-to-navigate articles to help you find the bargains you’re looking for.


Most of the status Widgets, like the ones for AWA and SPM, share common settings, as they're using a common method of displaying data. In the following screenshot you have some examples how you can use the settings to create nice displays:


Through over than 40 years experience in Logistic Industry and Land-Freight Transportation services, STAL always commited to provide hassle-free integrated logistic solution for every customer to meet its transportation needs and simplify the supply-chain process, ensuring the goods to be succesfully delivered to recipient’s place
Involving a wideset activities of distribution for non-liquid materials from local start to end-point that being appointed, while ensuring uniterrupted logistic process on behalf of our respectful clients
By Tailoring an s6d ensuring the safety transportation protocol of liquid materials, it enables us to improve operational efficiency to cater the needs of our clients for distributing their liquid materials from source, loading-point to final-point destination.
Combining our expertise in Liquid Material distribution, with a strong focus on safe and efficient bulk-delivery for our clients, we equipped our liquid-transporting truck with the modern bulk-tanking chassis, leading edge technology, and experienced operational staffs.
Along with our logistic-operation experiences and distribution management expertise, We provide a safe and well-established domestic-delivery network solution for Solid Products such as Petrochemicals and Paper Products.
Warehousing is a key-core component of any supply-chain process. Picking the right place to store the supply and optimise the distribution process , is top-notch priority for every business. At STAL, we provide various warehousing services which offer highly-efficient warehousing solutions through our highly-trained operation team and strategically located facilities/workshop/warehouse all over major cities/region in Indonesia.
STAL provides the best EMKL services to handle all aspects of customs clearance through local government’s policy, ensuring your goods to be succesfully delivered to your destination.
We create a consistent end-to-end logistics system to ensure your Valuable Shipments arrive safely/
Contact Us


Edit Receipt Information
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Ingredients
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Director: Chris Columbus
Writer: John Hughes
Genre Comedy, Family
Speelduur: 1 uur en 43 minuten
Jaar van uitgave: 1990
Bekijk de trailer
Beschrijving:
It is Christmas time and the McCallister family is preparing for a vacation in Paris, France. But the youngest in the family named Kevin got into a scuffle with his older brother Buzz and was sent to his room which is on the third floor of his house. Then, the next morning, while the rest of the family was in a rush to make it to the airport on time, they completely forgot about Kevin who now has the house all to himself. Being home alone was fun for Kevin, having a pizza all to himself, jumping on his parents' bed, and making a mess. Then, Kevin discovers about two burglars, Harry and Marv, about to rob his house on Christmas Eve. Kevin acts quickly by wiring his own house with makeshift booby traps to stop the burglars and to bring them to justice.
| Macaulay Culkin | Kevin McCallister |
| Joe Pesci | Harry Lime |
| Daniel Stern | Marv Merchants |
| John Heard | Peter McCallister |
| Roberts Blossom | Old Man Marley |


MPI provides a ``caching'' facility that allows an application to attach arbitrary pieces of information, called attributes, to three kinds of MPI objects, communicators, windows and datatypes. More precisely, the caching facility allows a portable library to do the following:
Advice to users.
The communicator MPI_COMM_SELF is a suitable choice for posting
process-local attributes, via this attributing-caching mechanism.
( End of advice to users.)
Rationale.
In one extreme
one
can allow caching on all opaque handles. The other
extreme is to only allow it on communicators. Caching has a cost
associated with it and should only be allowed when it is clearly needed and
the increased cost is modest.
This is the reason that windows and datatypes were
added but not other handles.
( End of rationale.)
One difficulty
is the potential for size differences between
Fortran integers and C pointers. To overcome this problem with
attribute caching on communicators,
functions
are also given for
this case. The
functions
to cache on datatypes and windows also
address this issue. For a general discussion of the address
size problem, see Section Addresses
.
Advice
to implementors.
High-quality implementations should raise an error when a keyval
that was created by a call to MPI_XXX_CREATE_KEYVAL is
used with an object of the wrong type with a call to
MPI_YYY_GET_ATTR, MPI_YYY_SET_ATTR, MPI_YYY_DELETE_ATTR, or
MPI_YYY_FREE_KEYVAL. To do so, it is necessary to maintain, with
each keyval, information on the type of the associated user
function.
( End of advice to implementors.)


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|
OR-Tools
7.1
Google Optimization software suite
|
#include <ebert_graph.h>
Classes | |
| class | IncomingArcIterator |
| class | OutgoingOrOppositeIncomingArcIterator |
Public Types | |
| typedef NodeIndexType | NodeIndex |
| typedef ArcIndexType | ArcIndex |
Public Member Functions | |
| EbertGraph () | |
| EbertGraph (NodeIndexType max_num_nodes, ArcIndexType max_num_arcs) | |
| ~EbertGraph () | |
| bool | CheckArcBounds (const ArcIndexType arc) const |
| bool | CheckArcValidity (const ArcIndexType arc) const |
| NodeIndexType | Tail (const ArcIndexType arc) const |
| NodeIndexType | DirectArcTail (const ArcIndexType arc) const |
| NodeIndexType | DirectArcHead (const ArcIndexType arc) const |
| ArcIndexType | DirectArc (const ArcIndexType arc) const |
| ArcIndexType | ReverseArc (const ArcIndexType arc) const |
| ArcIndexType | Opposite (const ArcIndexType arc) const |
| bool | IsDirect (const ArcIndexType arc) const |
| bool | IsReverse (const ArcIndexType arc) const |
| bool | IsOutgoingOrOppositeIncoming (ArcIndexType arc, NodeIndexType node) const |
| bool | IsIncoming (ArcIndexType arc, NodeIndexType node) const |
| bool | IsOutgoing (ArcIndexType arc, NodeIndexType node) const |
| void | BuildRepresentation () |
| std::string | DebugString () const |
| NodeIndexType | Head (const ArcIndexType arc) const |
| bool | IsNodeValid (NodeIndexType node) const |
| Public Member Functions inherited from operations_research::EbertGraphBase< NodeIndexType, ArcIndexType, DerivedGraph > | |
| bool | Reserve (NodeIndexType new_max_num_nodes, ArcIndexType new_max_num_arcs) |
| ArcIndexType | AddArc (NodeIndexType tail, NodeIndexType head) |
| template<typename ArcIndexTypeStrictWeakOrderingFunctor > | |
| void | GroupForwardArcsByFunctor (const ArcIndexTypeStrictWeakOrderingFunctor &compare, PermutationCycleHandler< ArcIndexType > *annotation_handler) |
| ArcIndexType | end_arc_index () const |
| bool | IsNodeValid (NodeIndexType node) const |
| Public Member Functions inherited from operations_research::StarGraphBase< NodeIndexType, ArcIndexType, DerivedGraph > | |
| NodeIndexType | num_nodes () const |
| ArcIndexType | num_arcs () const |
| NodeIndexType | end_node_index () const |
| ArcIndexType | end_arc_index () const |
| NodeIndexType | max_num_nodes () const |
| ArcIndexType | max_num_arcs () const |
| NodeIndexType | max_end_node_index () const |
| ArcIndexType | max_end_arc_index () const |
| bool | IsNodeValid (NodeIndexType node) const |
| ArcIndexType | LookUpArc (const NodeIndexType tail, const NodeIndexType head) const |
| NodeIndexType | Head (const ArcIndexType arc) const |
| std::string | NodeDebugString (const NodeIndexType node) const |
| std::string | ArcDebugString (const ArcIndexType arc) const |
Static Public Attributes | |
| static const ArcIndexType | kFirstArc |
| static const NodeIndexType | kFirstNode |
| static const ArcIndexType | kNilArc |
| static const NodeIndexType | kNilNode |
| Static Public Attributes inherited from operations_research::EbertGraphBase< NodeIndexType, ArcIndexType, DerivedGraph > | |
| static const ArcIndexType | kFirstArc |
| static const NodeIndexType | kFirstNode |
| static const ArcIndexType | kMaxNumArcs |
| static const NodeIndexType | kMaxNumNodes |
| static const ArcIndexType | kNilArc |
| static const NodeIndexType | kNilNode |
| Static Public Attributes inherited from operations_research::StarGraphBase< NodeIndexType, ArcIndexType, DerivedGraph > | |
| static const NodeIndexType | kNilNode = -1 |
| static const ArcIndexType | kNilArc |
| static const NodeIndexType | kFirstNode = 0 |
| static const ArcIndexType | kFirstArc = 0 |
| static const NodeIndexType | kMaxNumNodes |
| static const ArcIndexType | kMaxNumArcs |
Friends | |
| class | EbertGraphBase< NodeIndexType, ArcIndexType, EbertGraph< NodeIndexType, ArcIndexType > > |
| class | StarGraphBase< NodeIndexType, ArcIndexType, EbertGraph< NodeIndexType, ArcIndexType > > |
Additional Inherited Members | |
| Protected Member Functions inherited from operations_research::EbertGraphBase< NodeIndexType, ArcIndexType, DerivedGraph > | |
| EbertGraphBase () | |
| ~EbertGraphBase () | |
| void | Initialize (NodeIndexType max_num_nodes, ArcIndexType max_num_arcs) |
| ArcIndexType | FirstOutgoingOrOppositeIncomingArc (const NodeIndexType node) const |
| ArcIndexType | NextAdjacentArc (const ArcIndexType arc) const |
| ArcIndexType | NextOutgoingArc (const NodeIndexType unused_node, const ArcIndexType arc) const |
| Protected Member Functions inherited from operations_research::StarGraphBase< NodeIndexType, ArcIndexType, DerivedGraph > | |
| StarGraphBase () | |
| ~StarGraphBase () | |
| NodeIndexType | StartNode (NodeIndexType node) const |
| ArcIndexType | StartArc (ArcIndexType arc) const |
| NodeIndexType | NextNode (const NodeIndexType node) const |
| ArcIndexType | NextArc (const ArcIndexType arc) const |
| ArcIndexType | FirstOutgoingArc (const NodeIndexType node) const |
| Protected Attributes inherited from operations_research::EbertGraphBase< NodeIndexType, ArcIndexType, DerivedGraph > | |
| ZVector< ArcIndexType > | next_adjacent_arc_ |
| bool | representation_clean_ |
| ZVector< ArcIndexType > | first_incident_arc_ |
| ZVector< NodeIndexType > | head_ |
| ArcIndexType | max_num_arcs_ |
| NodeIndexType | max_num_nodes_ |
| ArcIndexType | num_arcs_ |
| NodeIndexType | num_nodes_ |
| Protected Attributes inherited from operations_research::StarGraphBase< NodeIndexType, ArcIndexType, DerivedGraph > | |
| NodeIndexType | max_num_nodes_ |
| ArcIndexType | max_num_arcs_ |
| NodeIndexType | num_nodes_ |
| ArcIndexType | num_arcs_ |
| ZVector< NodeIndexType > | head_ |
| ZVector< ArcIndexType > | first_incident_arc_ |
Definition at line 188 of file ebert_graph.h.
| typedef NodeIndexType operations_research::EbertGraph< NodeIndexType, ArcIndexType >::NodeIndex |
Definition at line 1223 of file ebert_graph.h.
| typedef ArcIndexType operations_research::EbertGraph< NodeIndexType, ArcIndexType >::ArcIndex |
Definition at line 1224 of file ebert_graph.h.
|
inline |
Definition at line 1226 of file ebert_graph.h.
|
inline |
Definition at line 1228 of file ebert_graph.h.
|
inline |
Definition at line 1232 of file ebert_graph.h.
|
inline |
Definition at line 1363 of file ebert_graph.h.
|
inline |
Definition at line 1371 of file ebert_graph.h.
|
inline |
Definition at line 1376 of file ebert_graph.h.
|
inline |
Definition at line 1384 of file ebert_graph.h.
|
inline |
Definition at line 1391 of file ebert_graph.h.
|
inline |
Definition at line 1396 of file ebert_graph.h.
|
inline |
Definition at line 1402 of file ebert_graph.h.
|
inline |
Definition at line 1409 of file ebert_graph.h.
|
inline |
Definition at line 1417 of file ebert_graph.h.
|
inline |
Definition at line 1423 of file ebert_graph.h.
|
inline |
Definition at line 1429 of file ebert_graph.h.
|
inline |
Definition at line 1435 of file ebert_graph.h.
|
inline |
Definition at line 1440 of file ebert_graph.h.
|
inline |
Definition at line 1448 of file ebert_graph.h.
|
inline |
Definition at line 1458 of file ebert_graph.h.
|
inline |
Definition at line 297 of file ebert_graph.h.
|
inline |
Definition at line 279 of file ebert_graph.h.
|
friend |
Definition at line 1193 of file ebert_graph.h.
|
friend |
Definition at line 1195 of file ebert_graph.h.
|
static |
Definition at line 225 of file ebert_graph.h.
|
static |
Definition at line 222 of file ebert_graph.h.
|
static |
Definition at line 219 of file ebert_graph.h.
|
static |
Definition at line 216 of file ebert_graph.h.


What is written on your 7-Tage-Karte?
When did it start:
When will it end:
at 3am
(so on the morning of this date,
buy a new card)
Created by
Eran
view code on
GitHub


“An Introduction to a revolutionary technique in the field of agriculture that’s going to change the idea of farming to whole new level…!!”
IoT smart farming solutions is a system that is built for monitoring the crop field with the help of sensors (light, humidity, temperature, soil moisture, crop health, etc.) and automating the irrigation system. The farmers can monitor the field conditions from anywhere.
But why “IoT” in Agriculture?
Well “IoT” in agriculture uses robots, drones, remote sensors and computer imaging combined with continuously progressing machine learning and analytical tools for monitoring crops, surveying and mapping the fields and provide data to farmers for rational farm management plans to save both time and money.
1. ‘Climate’ plays a huge part:
Climate plays a very critical role for farming. And having improper knowledge about climate heavily deteriorates the quantity and quality of the crop production. But IoT solutions enable you to know the real-time weather conditions. Sensors are placed inside and outside of the agriculture fields. They collect data from the environment which is used to choose the right crops which can grow and sustain in the particular climatic conditions. The main target of the sensors in this field is to eliminate the need of physical presence during disturbing climate conditions.
2. Smart Farming:
Precision Agriculture/Precision Farming is one of the most famous applications of IoT in Agriculture. It makes the farming practice more precise and controlled by realizing smart farming applications such as livestock monitoring, vehicle tracking, field observation, and inventory monitoring.
The goal of precision farming is to analyse the data, generated via sensors, to react accordingly. Precision Farming helps farmers to generate data with the help of sensors and analyse that information to take intelligent and quick decisions.
3. Greenhouses can also be ‘Smart’:
To make greenhouses smart, IoT has enabled weather stations to automatically adjust the climate conditions according to a particular set of instructions. Adoption of IoT in Greenhouses has eliminated the human intervention, thus making entire process cost-effective and increasing accuracy at the same time.
For example, using solar-powered IoT sensors builds modern and inexpensive greenhouses. Also, Automatic and smart irrigation is carried out with the help of IoT.
4. Analysing Data (Cloud Based):
The conventional database system does not have enough storage for the data collected from the IoT sensors. Cloud based data storage and an end-to-end IoT Platform plays an important role in the smart agriculture system. These systems are estimated to play an important role such that better activities can be performed. In the IoT world, sensors are the primary source of collecting data on a large scale. The data is analysed and transformed to meaningful information using analytics tools. With the help of the IoT devices, you can know the real-time status of the crops by capturing the data from sensors.
5. ‘Drones’ in Agriculture:
Technological advancements have almost revolutionized the agricultural operations and the introduction of agricultural drones is the trending disruption. The Ground and Aerial drones are used for assessment of crop health, crop monitoring, planting, crop spraying, and field analysis. With proper strategy and planning based on real-time data, drone technology has given a high rise and makeover to the agriculture industry. Drones with thermal or multispectral sensors identify the areas that require changes in irrigation.
Once the crops start growing, sensors indicate their health and calculate their vegetation index.
So how does “IoT” gets in Agriculture?
“All These Tech Talks are Making my Brain Swell” -----By Everyone
There are numerous examples of leveraging IoT technologies in agriculture from versatile data analytics and management systems to futuristic robot pollinators including climate, agricultural sensors and smart greenhouses.
For example, Agricultural sensors can help providing data that monitors and optimizes crops as well as adapt changing environmental factors. We can use INT G01 sensor to measure the apparent dielectric constant of the soil and Soil PH Sensor INT-PH1 is used in soil PH detection. Optical sensors like Vishay uses light to measure soil properties by being placed on conveyances or aerial platforms. Mechanical sensors measure soil compaction. For measuring the aerial condition in the area, air temperature sensors, interior temperature sensors, outlet duct and evaporator temperature sensors, pressure sensors, humidity sensors and sunload sensors can be used.
Climate can be unpredictable, but by collecting and analysing environmental data throughout a cycle of time period can make the work a whole lot lesser. Agricultural Weather Stations are self-contained units that are placed at various locations throughout growing fields. These stations have a combination of sensors appropriate for the local crops and climate. Data is measured and recorded at predetermined intervals and is compiled and sent wirelessly to a central data logger.
Now the most basic question remains is… “will IoT farming be affordable ??”
According to Second International Conference on Intelligent Computing and Control Systems (ICICCS) in 2018 it was stated that each year many crops go waste due to a lack of optimal climatic conditions to support crop growth. Losses to the tune of over 11 billion dollars are reported each year in India alone. After this “sensors” sound a bit cheaper. Moreover, it uses the cheapest sources of energies that are available currently that is Solar PV and onshore wind.
All the above facts are the “pros” of IoT Farming…so what about the “cons”
The smart agriculture needs availability of internet continuously. Rural part of most of the developing countries do not fulfil this requirement. Moreover, internet connection is slower. The smart farming-based equipment’s require farmers to understand and learn the use of technology. This is major challenge in adopting smart agriculture farming at large scale across the countries.
Last but Not Least…A few things to consider before your smart farming solution:
1. Hardware:
To build an IoT solution for agriculture, you need to choose the sensors for your device. Your choice will depend on the types of information you want to collect and the purpose of your solution. In any case, the quality of your sensors is crucial to the success of your product, it will depend on the accuracy of the collected data and its consistency.
2. The Brain:
Analysis of the data should be at the core of every smart agriculture solution. The collected data itself will be of little help if you cannot make sense of it. Thus, you need to have powerful data analytics capabilities and apply predictive algorithms and machine learning in order to obtain actionable insights based on the collected data.
3. Maintenance:
Maintenance of your hardware is a challenge that is of primary importance for IoT products in agriculture, as the sensors are typically used in the field and can be easily damaged. Thus, you need to make sure your hardware is durable and easy to maintain. Otherwise, you will need to replace your sensors more often than you would like.
4. Mobility:
Smart farming applications should be tailored for use in the field. A farm manager should be able to access the information on site or remotely via a smartphone or desktop computer. Plus, each connected device should be autonomous and have enough wireless range to communicate with the other devices and send data to the central server.
5. Security:
To ensure that your smart farming application performs well, you need a solid internal infrastructure.  Failing to properly secure your system only increases the likeliness of someone breaking into it, stealing your data, or even taking control of your autonomous devices (can be drones or even tractors).
#Just a fact:
It is estimated over 30 billion devices could be connected to the Internet of Things by 2020.
In recent times a “Robot” named “Row-Bot” is developed which is dedicated to increasing the efficiency of nitrogen fertilizer use in production agriculture.
Source/reference(if any):internet


fun add(command: Command): Unit
Adds the command to the Scheduler. This will not add the Command immediately, but will instead wait for the proper time in the Scheduler.run loop before doing so.
Adding a Command to the Scheduler involves the Scheduler removing any Command which has shared requirements.


Import
Have a card URL or code from another Open Ecard Generator instance? You can import it and view it here! Just paste the original URL in the box below and press the button to view your card.
Have a card URL or code from another Open Ecard Generator instance? You can import it and view it here! Just paste the original URL in the box below and press the button to view your card.
The default ("create") page provides a simple interface to design your electronic greeting card. The message text, card image, background colour and pattern, and sender and receiver names can all be customized. Your card will appear in an automatically-updating preview at the bottom of the screen as you begin to edit it. Press the "Toggle preview" button to turn off the preview feature.
 You can share this link (which goes to the "receive" page) with anyone you would like to send the card to.
All of your customizations are encoded in the url, so the card contents will not expire or change as long as the site is up (and even if the site goes down, you can still retrieve your card by downloading the generator and importing the link.)
The card generation and retrieval process is done entirely locally, so none of the card contents is ever stored anywhere on any server.


| SEDUCED AND ABANDONED combines acting legend Alec Baldwin with director James Toback as they lead us on a troublesome and often hilarious journey of raising financing for their next feature film. Moving from director to financier to star actor, the two players provide us with a unique look behind the curtain at the world's biggest and most glamourous film festival, shining a light on the bitter-sweet relationship filmmakers have with Cannes and the film business. Featuring insights from directors Martin Scorsese, 'Bernando Bertolucci' and Roman Polanski; actors Ryan Gosling and Jessica Chastain and a host of film distribution luminaries. | |
| Genres: | Documentary |
| Director: | James Toback |
| Writer: | James Toback |
Cast: | Herself - Jessica Chastain Himself - Martin Scorsese Himself - Ryan Gosling Herself - Diane Kruger Himself - Alec Baldwin Herself - Neve Campbell Himself - James Caan Himself - Francis Ford Coppola Himself - Roman Polanski Herself - Bérénice Bejo Himself - Bernardo Bertolucci Herself - Charlotte Kirk Himself - Avi Lerner Himself - Jeremy Thomas Himself - Thorsten Schumacher Himself - Scott Foundas Himself - Todd McCarthy Himself - Ben Schneider |


Neighborhood Mood
Description
Shows the average mood of NYC neighboorhoods.
Based on tweets in the last half hour, updated constantly.
Tutorial: click here
Technologies Showcased
- AWS Kinesis
- AWS Lambda
- AWS Analytics (SQL on Kinesis Streams)
- Twitter Streaming
- TextBlob and NLTK