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  • Organization &amp; Architecture UNISA Studies &ndash; Chap 5

    - by MarkPearl
    Learning Outcomes Describe the operation of a memory cell Explain the difference between DRAM and SRAM Discuss the different types of ROM Explain the concepts of a hard failure and a soft error respectively Describe SDRAM organization Semiconductor Main Memory The two traditional forms of RAM used in computers are DRAM and SRAM DRAM (Dynamic RAM) Divided into two technologies… Dynamic Static Dynamic RAM is made with cells that store data as charge on capacitors. The presence or absence of charge in a capacitor is interpreted as a binary 1 or 0. Because capacitors have natural tendency to discharge, dynamic RAM requires periodic charge refreshing to maintain data storage. The term dynamic refers to the tendency of the stored charge to leak away, even with power continuously applied. Although the DRAM cell is used to store a single bit (0 or 1), it is essentially an analogue device. The capacitor can store any charge value within a range, a threshold value determines whether the charge is interpreted as a 1 or 0. SRAM (Static RAM) SRAM is a digital device that uses the same logic elements used in the processor. In SRAM, binary values are stored using traditional flip flop logic configurations. SRAM will hold its data as along as power is supplied to it. Unlike DRAM, no refresh is required to retain data. SRAM vs. DRAM DRAM is simpler and smaller than SRAM. Thus it is more dense and less expensive than SRAM. The cost of the refreshing circuitry for DRAM needs to be considered, but if the machine requires a large amount of memory, DRAM turns out to be cheaper than SRAM. SRAMS are somewhat faster than DRAM, thus SRAM is generally used for cache memory and DRAM is used for main memory. Types of ROM Read Only Memory (ROM) contains a permanent pattern of data that cannot be changed. ROM is non volatile meaning no power source is required to maintain the bit values in memory. While it is possible to read a ROM, it is not possible to write new data into it. An important application of ROM is microprogramming, other applications include library subroutines for frequently wanted functions, System programs, Function tables. A ROM is created like any other integrated circuit chip, with the data actually wired into the chip as part of the fabrication process. To reduce costs of fabrication, we have PROMS. PROMS are… Written only once Non-volatile Written after fabrication Another variation of ROM is the read-mostly memory, which is useful for applications in which read operations are far more frequent than write operations, but for which non volatile storage is required. There are three common forms of read-mostly memory, namely… EPROM EEPROM Flash memory Error Correction Semiconductor memory is subject to errors, which can be classed into two categories… Hard failure – Permanent physical defect so that the memory cell or cells cannot reliably store data Soft failure – Random error that alters the contents of one or more memory cells without damaging the memory (common cause includes power supply issues, etc.) Most modern main memory systems include logic for both detecting and correcting errors. Error detection works as follows… When data is to be read into memory, a calculation is performed on the data to produce a code Both the code and the data are stored When the previously stored word is read out, the code is used to detect and possibly correct errors The error checking provides one of 3 possible results… No errors are detected – the fetched data bits are sent out An error is detected, and it is possible to correct the error. The data bits plus error correction bits are fed into a corrector, which produces a corrected set of bits to be sent out An error is detected, but it is not possible to correct it. This condition is reported Hamming Code See wiki for detailed explanation. We will probably need to know how to do a hemming code – refer to the textbook (pg. 188 – 189) Advanced DRAM organization One of the most critical system bottlenecks when using high-performance processors is the interface to main memory. This interface is the most important pathway in the entire computer system. The basic building block of main memory remains the DRAM chip. In recent years a number of enhancements to the basic DRAM architecture have been explored, and some of these are now on the market including… SDRAM (Synchronous DRAM) DDR-DRAM RDRAM SDRAM (Synchronous DRAM) SDRAM exchanges data with the processor synchronized to an external clock signal and running at the full speed of the processor/memory bus without imposing wait states. SDRAM employs a burst mode to eliminate the address setup time and row and column line precharge time after the first access In burst mode a series of data bits can be clocked out rapidly after the first bit has been accessed SDRAM has a multiple bank internal architecture that improves opportunities for on chip parallelism SDRAM performs best when it is transferring large blocks of data serially There is now an enhanced version of SDRAM known as double data rate SDRAM or DDR-SDRAM that overcomes the once-per-cycle limitation of SDRAM

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  • MTP Won't Work With Newer Ubuntu

    - by spacesword
    I have a Philips GoGear Vibe 4 GB, set to MTP mode, as it's always been. This works fine with older versions of Ubuntu and works fine with Windows, but doesn't work with newer versions of Ubuntu. The version history is like this: 12.04 - works 12.10 - works 13.04 - doesn't work 14.04 - doesn't work Windows 7 - works When you plug the MP3 player in Ubuntu the file manager opens the root of the device, which contains the folder "internal storage". When you click on "internal storage" to open it, the file manager just hangs. And if you try to unmount the MP3 player, that process hangs too, until you just unplug it. In Windows when you click on internal storage, it opens and shows all the files it contains. And in the earlier versions of Ubuntu it just worked. Any ideas? Thanks.

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  • About Alpha blending sprites in Direct3D9

    - by ambrozija
    I have a Direct3D9 application that is rendering ID3DXSprites. The problem I am experiencing is best described in this situation: I have a texture that is totally opaque. On top of it I draw a rectangle filled with solid color and alpha of 128. On top of the rectangle I have a text that is totally opaque. I draw all of this and get the resulting image through GetRenderTarget call. The problem is that on the resulting image, on the area where the transparent rectangle is, I have semi transparent pixels. It is not a problem that the rectangle is transparent, the problem is that the resulting image is. The question is how to setup the blending so in this situation I don't get the transparent pixels in the resulting image? I use the sprite with D3DXSPRITE_ALPHABLEND which sets the device state to D3DBLEND_SRCALPHA and D3DBLEND_INVSRCALPHA. I tried couple of combinations of SetRenderState, like D3DBLEND_SRCALPHA, D3DBLEND_DESTALPHA etc., but couldn't make it work. Thanks.

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  • Better drivers for SiS 650/740 integrated video?

    - by Bart van Heukelom
    I installed Xubuntu 10.10 on an old box today and the graphical performance is horrid. According to lspci, the video card is this: 01:00.0 VGA compatible controller: Silicon Integrated Systems [SiS] 65x/M650/740 PCI/AGP VGA Display Adapter (prog-if 00 [VGA controller]) Subsystem: ASUSTeK Computer Inc. Device 8081 Flags: 66MHz, medium devsel, IRQ 11 BIST result: 00 Memory at f0000000 (32-bit, prefetchable) [size=128M] Memory at e7800000 (32-bit, non-prefetchable) [size=128K] I/O ports at d800 [size=128] Expansion ROM at <unassigned> [disabled] Capabilities: <access denied> Kernel modules: sisfb Is there a way to make it faster? Alternative drivers? The additional drivers tool shows nothing. I'm specifically interested in improving Java's Java2D rendering speed, because I'll be running a "stat screen" written in that language on it.

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  • Bless doesn't fix white boot screen boot delay for single-boot Xubuntu 14.04 on Macbook 4,1

    - by elephant
    I still have a 30-second delay on the white boot-up screen before Xubuntu loads after trying various combinations of bless --device as recommended here: https://help.ubuntu.com/community/MactelSupportTeam/AppleIntelInstallation#Avoid_long_EFI_wait_before_GRUB I wonder if anyone has experienced this before, or can point me to some good steps for troubleshooting this issue? I have cycled my macbook dozens of times, it would be great to be able to boot quicker. I am single-booting Xubuntu 14.04 (no Mac OSX partitions or any other OS, just a GRUB partition at sda1, a main partition at sda2, and a swap at the end of the drive). Suggestions very appreciated.

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  • Referring to hardware/software in first-person? [closed]

    - by JYelton
    At my company, there is a habit for the engineers to refer to their respective hardware/firmware/software in the first-person as if the device they are responsible for is a manifestation of themselves. I'll give you an example: Hardware Engineer: "I don't receive the first byte, so I stay off." Software Engineer: "I'm sending you the first byte after the ack flag, so I thought you were getting it." Hardware Engineer: "No, you're not turning me on." It was this very example I overheard today that nearly had me giggling in fits. "You're not turning me on." Well, I should hope not! So, is it common practice for engineers to do this, or simply unprofessional? Any suggestions for changing this apparently bad habit?

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  • ubuntu broke my windows boot

    - by Then Enok
    I was installing ubuntu on pendrive and once finished I needed to run windows a bit, even though I chose erase and install ON THE PENDRIVE it altered my hdd boot sector When I remove the ubu cd and pendrive it should only boot from hdd (windows) but it gives Error: no such device : blablabla(numerbes and letters) Grub rescue _ If I place the pendrive inside it asks me whether to start windows or linux (windows works here) I need to run windows without the pendrive, how can I remove grub from the hdd and also run ubuntu from the pendrive(once I remove grub from the hdd) || THX ArK, your information help me do wonders! :) || Now... it seems that without grub i can not boot the ubuntu from the pendrive anymore, blank screen and nothing loads(i did check the ubuntu with the grub from the hdd, and everything inside it worked perfectly (except the clock, it didnt find my local hour...) ) New problem: it seems that grub which is now on the pendrive is always asking me whether to boot from windows or ubuntu F*ck of course i want to boot ubuntu otherwise i would stick the pen inside the computer

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  • Week in Geek: Rogue Antivirus Caught Using AVG Logo Edition

    - by Asian Angel
    This week we learned how to quickly cut a clip from a video file with Avidemux, “tile windows, remote control a desktop using an iOS device, taking advantage of Windows 7 libraries”, turn a home Ubuntu PC into a LAMP web server, enable desktop notifications for Gmail in Chrome, “what image channels are and what they mean”, and more Latest Features How-To Geek ETC How to Integrate Dropbox with Pages, Keynote, and Numbers on iPad RGB? CMYK? Alpha? What Are Image Channels and What Do They Mean? How to Recover that Photo, Picture or File You Deleted Accidentally How To Colorize Black and White Vintage Photographs in Photoshop How To Get SSH Command-Line Access to Windows 7 Using Cygwin The How-To Geek Video Guide to Using Windows 7 Speech Recognition Android Notifier Pushes Android Notices to Your Desktop Dead Space 2 Theme for Chrome and Iron Carl Sagan and Halo Reach Mashup – We Humans are Capable of Greatness [Video] Battle the Necromorphs Once Again on Your Desktop with the Dead Space 2 Theme for Windows 7 HTC Home Brings HTC’s Weather Widget to Your Windows Desktop Apps Uninstall Batch Removes Android Applications

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  • Uploading a file automatically for speed test?

    - by Abhi
    I am building a Web UI for a device for internet connection and one of the requirements in it is a speed test. I know the basic concept of how speed test works. A file is downloaded for a limited time then the same file is uploaded again and the speed is tracked at regular intervals. Downloading the file is not an issue, but how am I supposed to upload the file without the client knowing that the file is getting uploaded? I've read through a lot of documentation, but I'm still not able to get the answer to how I will upload the file from clients machine without asking him to select the file.

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  • Set default pulseaudio volume

    - by MrUser
    When I reboot, the volume on the PulseAudio sinks is set to 100%. I know how to change the volume using pactl set-sink-volume, but that is only set temporarily. I could write a script that is run at startup, but it will not be applied if I connect a sink later. (i.e. a Bluetooth speaker) Is there a config file where I can set the default volume that is given to a device when it is first loaded by PulseAudio? Or even the master volume at startup? Clarification: The application is for a headless linux box, so the system shouldn't have to be rebooted and should be able to accept new devices without having to connect via ssh to adjust volumes, etc.

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  • Create a package for official Realtek ALC665 drivers (Dell XPS 15 L502X)

    - by Nic
    is it possible for someone to create an ALSA driver package from the official Realtek "LinuxPkg_5.17Beta.tar.bz2" drivers (found via Google)? These drivers provide excellent support for the ALC665 chipset, found eg. in the Dell XPS 15 notebook series (L502x). All the features like output selection (HDMI, headphones) that were not working before are supported. I am asking for a package because the driver is unusable as-is: it comes with an outdated version of ALSA that does not compile on a 3.5 kernel. Apart from that, it also removes all the default snd-* drivers that come with the kernel package. Any help in bringing better support for this device to the official Ubuntu packages is much appreciated. N.

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  • Problem mounting USB Mobile Broadband dongle in Ubuntu 13.04

    - by Still A Learner
    I have been using Ubuntu 13.04 since last two months and I have problem mounting my USB dongle. I have Lenovo G-580 series laptop. It has 3 USB ports which are 3.0. When I attach dongle to one of the three USB ports the device gets mounted immediately but in the other two ports I have to reboot the OS while the dongle is attached to the laptop in order to mount it and connect to the internet. My dongle is of ZTE. I don't get what is going wrong.

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  • How to setup ATI Mobility Radeon HD 4650?

    - by Thi An
    I'm currently using Ubuntu 12.04 64bit. After installing ATI/AMD proprietary FGLRX graphics drivers via Additional Drivers, I checked the status of my VGA card using lspci -v. Here's the output: 02:00.0 VGA compatible controller: Advanced Micro Devices [AMD] nee ATI M96 [Mobility Radeon HD 4650] (prog-if 00 [VGA controller]) Subsystem: Dell Device 0456 Flags: bus master, fast devsel, latency 0, IRQ 46 Memory at d0000000 (32-bit, prefetchable) [size=256M] I/O ports at 2000 [size=256] Memory at cfef0000 (32-bit, non-prefetchable) [size=64K] [virtual] Expansion ROM at cfe00000 [disabled] [size=128K] Capabilities: Kernel driver in use: fglrx_pci Kernel modules: fglrx, radeon As mentioned in the title, my VGA card is 1GB and yet my computer only recognizes 256MB. My question is: "How to make my computer fully recognize the capacity of my ATI Mobility Radeon HD 4650 (1GB)?"

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  • Combined Likelihood Models

    - by Lukas Vermeer
    In a series of posts on this blog we have already described a flexible approach to recording events, a technique to create analytical models for reporting, a method that uses the same principles to generate extremely powerful facet based predictions and a waterfall strategy that can be used to blend multiple (possibly facet based) models for increased accuracy. This latest, and also last, addition to this sequence of increasing modeling complexity will illustrate an advanced approach to amalgamate models, taking us to a whole new level of predictive modeling and analytical insights; combination models predicting likelihoods using multiple child models. The method described here is far from trivial. We therefore would not recommend you apply these techniques in an initial implementation of Oracle Real-Time Decisions. In most cases, basic RTD models or the approaches described before will provide more than enough predictive accuracy and analytical insight. The following is intended as an example of how more advanced models could be constructed if implementation results warrant the increased implementation and design effort. Keep implemented statistics simple! Combining likelihoods Because facet based predictions are based on metadata attributes of the choices selected, it is possible to generate such predictions for more than one attribute of a choice. We can predict the likelihood of acceptance for a particular product based on the product category (e.g. ‘toys’), as well as based on the color of the product (e.g. ‘pink’). Of course, these two predictions may be completely different (the customer may well prefer toys, but dislike pink products) and we will have to somehow combine these two separate predictions to determine an overall likelihood of acceptance for the choice. Perhaps the simplest way to combine multiple predicted likelihoods into one is to calculate the average (or perhaps maximum or minimum) likelihood. However, this would completely forgo the fact that some facets may have a far more pronounced effect on the overall likelihood than others (e.g. customers may consider the product category more important than its color). We could opt for calculating some sort of weighted average, but this would require us to specify up front the relative importance of the different facets involved. This approach would also be unresponsive to changing consumer behavior in these preferences (e.g. product price bracket may become more important to consumers as a result of economic shifts). Preferably, we would want Oracle Real-Time Decisions to learn, act upon and tell us about, the correlations between the different facet models and the overall likelihood of acceptance. This additional level of predictive modeling, where a single supermodel (no pun intended) combines the output of several (facet based) models into a single prediction, is what we call a combined likelihood model. Facet Based Scores As an example, we have implemented three different facet based models (as described earlier) in a simple RTD inline service. These models will allow us to generate predictions for likelihood of acceptance for each product based on three different metadata fields: Category, Price Bracket and Product Color. We will use an Analytical Scores entity to store these different scores so we can easily pass them between different functions. A simple function, creatively named Compute Analytical Scores, will compute for each choice the different facet scores and return an Analytical Scores entity that is stored on the choice itself. For each score, a choice attribute referring to this entity is also added to be returned to the client to facilitate testing. One Offer To Predict Them All In order to combine the different facet based predictions into one single likelihood for each product, we will need a supermodel which can predict the likelihood of acceptance, based on the outcomes of the facet models. This model will not need to consider any of the attributes of the session, because they are already represented in the outcomes of the underlying facet models. For the same reason, the supermodel will not need to learn separately for each product, because the specific combination of facets for this product are also already represented in the output of the underlying models. In other words, instead of learning how session attributes influence acceptance of a particular product, we will learn how the outcomes of facet based models for a particular product influence acceptance at a higher level. We will therefore be using a single All Offers choice to represent all offers in our combined likelihood predictions. This choice has no attribute values configured, no scores and not a single eligibility rule; nor is it ever intended to be returned to a client. The All Offers choice is to be used exclusively by the Combined Likelihood Acceptance model to predict the likelihood of acceptance for all choices; based solely on the output of the facet based models defined earlier. The Switcheroo In Oracle Real-Time Decisions, models can only learn based on attributes stored on the session. Therefore, just before generating a combined prediction for a given choice, we will temporarily copy the facet based scores—stored on the choice earlier as an Analytical Scores entity—to the session. The code for the Predict Combined Likelihood Event function is outlined below. // set session attribute to contain facet based scores. // (this is the only input for the combined model) session().setAnalyticalScores(choice.getAnalyticalScores); // predict likelihood of acceptance for All Offers choice. CombinedLikelihoodChoice c = CombinedLikelihood.getChoice("AllOffers"); Double la = CombinedLikelihoodAcceptance.getChoiceEventLikelihoods(c, "Accepted"); // clear session attribute of facet based scores. session().setAnalyticalScores(null); // return likelihood. return la; This sleight of hand will allow the Combined Likelihood Acceptance model to predict the likelihood of acceptance for the All Offers choice using these choice specific scores. After the prediction is made, we will clear the Analytical Scores session attribute to ensure it does not pollute any of the other (facet) models. To guarantee our combined likelihood model will learn based on the facet based scores—and is not distracted by the other session attributes—we will configure the model to exclude any other inputs, save for the instance of the Analytical Scores session attribute, on the model attributes tab. Recording Events In order for the combined likelihood model to learn correctly, we must ensure that the Analytical Scores session attribute is set correctly at the moment RTD records any events related to a particular choice. We apply essentially the same switching technique as before in a Record Combined Likelihood Event function. // set session attribute to contain facet based scores // (this is the only input for the combined model). session().setAnalyticalScores(choice.getAnalyticalScores); // record input event against All Offers choice. CombinedLikelihood.getChoice("AllOffers").recordEvent(event); // force learn at this moment using the Internal Dock entry point. Application.getPredictor().learn(InternalLearn.modelArray, session(), session(), Application.currentTimeMillis()); // clear session attribute of facet based scores. session().setAnalyticalScores(null); In this example, Internal Learn is a special informant configured as the learn location for the combined likelihood model. The informant itself has no particular configuration and does nothing in itself; it is used only to force the model to learn at the exact instant we have set the Analytical Scores session attribute to the correct values. Reporting Results After running a few thousand (artificially skewed) simulated sessions on our ILS, the Decision Center reporting shows some interesting results. In this case, these results reflect perfectly the bias we ourselves had introduced in our tests. In practice, we would obviously use a wider range of customer attributes and expect to see some more unexpected outcomes. The facetted model for categories has clearly picked up on the that fact our simulated youngsters have little interest in purchasing the one red-hot vehicle our ILS had on offer. Also, it would seem that customer age is an excellent predictor for the acceptance of pink products. Looking at the key drivers for the All Offers choice we can see the relative importance of the different facets to the prediction of overall likelihood. The comparative importance of the category facet for overall prediction might, in part, be explained by the clear preference of younger customers for toys over other product types; as evident from the report on the predictiveness of customer age for offer category acceptance. Conclusion Oracle Real-Time Decisions' flexible decisioning framework allows for the construction of exceptionally elaborate prediction models that facilitate powerful targeting, but nonetheless provide insightful reporting. Although few customers will have a direct need for such a sophisticated solution architecture, it is encouraging to see that this lies within the realm of the possible with RTD; and this with limited configuration and customization required. There are obviously numerous other ways in which the predictive and reporting capabilities of Oracle Real-Time Decisions can be expanded upon to tailor to individual customers needs. We will not be able to elaborate on them all on this blog; and finding the right approach for any given problem is often more difficult than implementing the solution. Nevertheless, we hope that these last few posts have given you enough of an understanding of the power of the RTD framework and its models; so that you can take some of these ideas and improve upon your own strategy. As always, if you have any questions about the above—or any Oracle Real-Time Decisions design challenges you might face—please do not hesitate to contact us; via the comments below, social media or directly at Oracle. We are completely multi-channel and would be more than glad to help. :-)

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  • How do I run my XBOX XNA game without a network connection?

    - by Hugh
    I need to demo my XBOX XNA game in college. The college doesn't allow this type of device to connect to the network. I deployed my game to the Xbox and it is sitting in the games list along with my other games. It runs fine with a network connection but when its offline it comes up with an error message saying its needs a connection to run the game. This makes no sense, the game is deployed on the Xbox memory, it must be some security policy or something! Is there any way around this? The demo is on monday!

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  • In the future, when mobile devices are embedded in your body, what kind of APIs might be availbe to an application developer?

    - by Conor
    Mobile devices have APIs that allow an application to send and receive SMS, make a phone call, determine location etc. In the future, when mobile devices are embedded in your body, what kind of APIs might be availbe to an application developer? EDIT: This is not intended to be a joke question (but what's the harm in some funny answers?). It's to spur a discussion on how one aspect of mobile device application could pan out and what kind of application might be available. For example: health monitoring - various APIs available to get body temperature, sugar levels, etc for transmission to your GP.

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  • 'bzip2' error while downloading OpenCV2.4.2 in 12.04

    - by Saurabh Deshpande
    While downloading OpenCV2.4.2 in 12.04, I get the following error message: bzip2: Compressed file ends unexpectedly; perhaps it is corrupted? *Possible* reason follows. bzip2: Inappropriate ioctl for device Input file = (stdin), output file = (stdout) It is possible that the compressed file(s) have become corrupted. You can use the -tvv option to test integrity of such files. You can use the `bzip2recover' program to attempt to recover data from undamaged sections of corrupted files. tar: Child returned status 2 tar: Error is not recoverable: exiting now

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  • Unable to recognize hard drive after replacing a drive

    - by Peter Schriver
    I have a Poweredge 830 that I had been using with 1 OS Sata drive and 3 data drives. One of the drives had some failing sectors so I replaced it with a different drive. For some bizarre reason the computer would not reboot so I disconnected all of the media drives and did a clean reinstall on the OS drive. Only the boot drive and one of the media drives are now recognized by my Bios. Drive 0 and 2. Drive 1 and 3 are listed in the Bios as "Unkown Device" Any help would be appreciated I think there may be something wrong with the install. For some reason when I attempt to change the display it says I have a laptop.If you think a reinstall is in order I will try that.

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  • Ubuntu 14.04 Bluetooth Magic Mouse doesn't pair (No agent available)

    - by Rafael Xavier
    Mouse gets discovered. Although, it doesn't pair. /var/log/syslog: Apr 23 10:05:15 xavier bluetoothd[9873]: No agent available for request type 0 Apr 23 10:05:15 xavier bluetoothd[9873]: btd_event_request_pin: Operation not permitted Apr 23 10:05:15 xavier bluetoothd[9873]: Connection refused (111) It's worth saying that: Keyboard has paired and it's working just fine though; Mouse used to work just fine in Ubuntu 12.04, and 13, and it works when I reboot on Mac; This is the hci device. $ hcitool dev Devices: hci0 E0:F8:47:3A:3F:47 How to get it working?

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  • Wubi 12.04 installation error executing command command

    - by Erik Lau
    I have tried to install wubi but have not had luck because there is an error executing command: command=C:\Users\Me\AppData\Local\Temp\pyl4266.tmp\bin\resize2fs.exe-f C:\ubuntu\disks\root.disk 17744M retval=1 stderr= stdout=resize2fs1.40.6 (09-Feb-2008) Usage: /cygdrive/c/Users/Eriks/AppData/Local/Temp/pyl4266.tmp/bin/resize2fs.exe-f C:/unbuntu/disks.root.disk17744M [-d debug_flags][-f][-F][-p] device[new_size] I do not understand what is the problem. Here is my log file. https://skydrive.live.com/redir?resid=B4F19CA027FFAD89!324 Please let me know what can be done to fix this error.

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  • Why, on iOS, is glRenderbufferStorage appearing to fail?

    - by dugla
    On an iOS device (iPad) I decided to change the storage for my renderbuffer from the CAEAGLLayer that backs the view to explicit storage via glRenderbufferStorage. Sadly, the following code fails to result in a valid FBO. Can someone please tell me what I missed?: glGenFramebuffers(1, &m_framebuffer); glBindFramebuffer(GL_FRAMEBUFFER, m_framebuffer); glGenRenderbuffers(1, &m_colorbuffer); glBindRenderbuffer(GL_RENDERBUFFER, m_colorbuffer); GLsizei width = (GLsizei)layer.bounds.size.width; GLsizei height = (GLsizei)layer.bounds.size.height; glRenderbufferStorage(m_colorbuffer, GL_RGBA8_OES, width, height); glFramebufferRenderbuffer(GL_FRAMEBUFFER, GL_COLOR_ATTACHMENT0, GL_RENDERBUFFER, m_colorbuffer); Note: The layer size is valid and correct. This is solid production working rendering code. The only change I am making is the line glRenderbufferStorage(...) previously I did: [m_context renderbufferStorage:GL_RENDERBUFFER fromDrawable:layer] Thanks, Doug

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  • 5 Android Keyboard Replacements to Help You Type Faster

    - by Chris Hoffman
    Android allows developers to replace its keyboard with their own keyboard apps. This has led to experimentation and great new features, like the gesture-typing feature that’s made its way into Android’s official keyboard after proving itself in third-party keyboards. This sort of customization isn’t possible on Apple’s iOS or even Microsoft’s modern Windows environments. Installing a third-party keyboard is easy — install it from Google Play, launch it like another app, and it will explain how to enable it. Google Keyboard Google Keyboard is Android’s official keyboard, as seen on Google’s Nexus devices. However, there’s a good chance your Android smartphone or tablet comes with a keyboard designed by its manufacturer instead. You can install the Google Keyboard from Google Play, even if your device doesn’t come with it. This keyboard offers a wide variety of features, including a built-in gesture-typing feature, as popularized by Swype. It also offers prediction, including full next-word prediction based on your previous word, and includes voice recognition that works offline on modern versions of Android. Google’s keyboard may not offer the most accurate swiping feature or the best autocorrection, but it’s a great keyboard that feels like it belongs in Android. SwiftKey SwiftKey costs $4, although you can try it free for one month. In spite of its price, many people who rarely buy apps have been sold on SwiftKey. It offers amazing auto-correction and word-prediction features. Just mash away on your touch-screen keyboard, typing as fast as possible, and SwiftKey will notice your mistakes and type what you actually meant to type. SwiftKey also now has built-in support for gesture-typing via SwiftKey Flow, so you get a lot of flexibility. At $4, SwiftKey may seem a bit pricey, but give the month-long trial a try. A great keyboard makes all the typing you do everywhere on your phone better. SwiftKey is an amazing keyboard if you tap-to-type rather than swipe-to-type. Swype While other keyboards have copied Swype’s swipe-to-type feature, none have completely matched its accuracy. Swype has been designing a gesture-typing keyboard for longer than anyone else and its gesture feature still seems more accurate than its competitors’ gesture support. If you use gesture-typing all the time, you’ll probably want to use Swype. Swype can now be installed directly from Google Play without the old, tedious process of registering a beta account and sideloading the Swype app. Swype offers a month-long free trial and the full version is available for $1 afterwards. Minuum Minuum is a crowdfunded keyboard that is currently still in beta and only supports English. We include it here because it’s so interesting — it’s a great example of the kind of creativity and experimentation that happens when you allow developers to experiment with their own forms of keyboard. Minuum uses a tiny, minimum keyboard that frees up your screen space, so your touch-screen keyboard doesn’t hog your device’s screen. Rather than displaying a full keyboard on your screen, Minuum displays a single row of letters.  Each letter is small and may be difficult to hit, but that doesn’t matter — Minuum’s smart autocorrection algorithms interpret what you intended to type rather than typing the exact letters you press. Just swipe to the right to type a space and accept Minuum’s suggestion. At $4 for a beta version with no trial, Minuum may seem a bit pricy. But it’s a great example of the flexibility Android allows. If there’s a problem with this keyboard, it’s that it’s a bit late — in an age of 5″ smartphones with 1080p screens, full-size keyboards no longer feel as cramped. MessagEase MessagEase is another example of a new take on text input. Thankfully, this keyboard is available for free. MessagEase presents all letters in a nine-button grid. To type a common letter, you’d tap the button. To type an uncommon letter, you’d tap the button, hold down, and swipe in the appropriate direction. This gives you large buttons that can work well as touch targets, especially when typing with one hand. Like any other unique twist on a traditional keyboard, you’d have to give it a few minutes to get used to where the letters are and the new way it works. After giving it some practice, you may find this is a faster way to type on a touch-screen — especially with one hand, as the targets are so large. Google Play is full of replacement keyboards for Android phones and tablets. Keyboards are just another type of app that you can swap in. Leave a comment if you’ve found another great keyboard that you prefer using. Image Credit: Cheon Fong Liew on Flickr     

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  • Ubuntu 11.10, FF 11, ATI Catalyst v12.2, Driver Package version 8.95, WebGL doesn't work

    - by Victor S
    I'm running Ubuntu 11.10, FF 11, ATI Catalyst v12.2, Driver Package version 8.95, WebGL doesn't work. This is a pretty capable setup and definetly did have FF work previously, Note: I've downloaded and installed the ATI drivers from AMD. Not sure how to get WebGL working. Updated My video card info: 01:00.0 VGA compatible controller: ATI Technologies Inc Cypress [Radeon HD 5800 Series] (prog-if 00 [VGA controller]) Subsystem: ATI Technologies Inc Device 0b00 Flags: bus master, fast devsel, latency 0, IRQ 44 Memory at d0000000 (64-bit, prefetchable) [size=256M] Memory at fbee0000 (64-bit, non-prefetchable) [size=128K] I/O ports at d000 [size=256] Expansion ROM at fbec0000 [disabled] [size=128K] Capabilities: [50] Power Management version 3 Capabilities: [58] Express Legacy Endpoint, MSI 00 Capabilities: [a0] MSI: Enable+ Count=1/1 Maskable- 64bit+ Capabilities: [100] Vendor Specific Information: ID=0001 Rev=1 Len=010 <?> Capabilities: [150] Advanced Error Reporting Kernel driver in use: fglrx_pci Kernel modules: fglrx, radeon

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  • How to edit pdf metadata from command line?

    - by bdr529
    I need a command line tool for editing metadata of pdf-files. I'm using a Aiptek MyNote Premium tablet for writing my notes and minutes on this device, import them later and convert them to pdf automatically with a simple script using inkscape and ghostscript. Is there any command line tool to add some categories to the pdf's metadata, so i can find the pdf later (e.g. with gnome-do) by categories? Update: I tried the solution with pdftk and it works, but it seems that gnome-do doesn't take care of pdf-metadata. Is there a way to get gnome-do to do that?

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  • Size limit while using UICollectionView as tiled map for iOS game?

    - by Alexander Winn
    I'm working on a turn-based strategy game for iOS, (picture Civilization 2 as a template example), and I'm considering using a UICollectionView as my game map. Each cell would be a tile, and I could use the "didSelectCell" method to handle player interaction with each tile. Here's my question: I know that UICollectionViewCells are dequeued and reused by the OS, so does that mean that the map could support an effectively infinitely-large map, so long as only a few cells are onscreen at a time? However many cells were onscreen would be held in memory, and obviously the data source would take up some memory, but would my offscreen map be limited to a certain size or could it be enormous so long as the number of cells visible at any one time wasn't too much for the device to handle? Basically, is there any memory weight to offscreen cells, or do only visible cells have any impact? Also, does a UICollectionView seem like a bad idea for a game map, in a way I haven't thought of yet? It seems like it work well, but I haven't tried it yet so any thoughts are welcome.

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