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• Oracle Magazine, November/December 2009

  Oracle Magazine November/December features articles on our Editors' Choice Awards 2009, Oracle Database 11g Release 2, ODP.NET and Oracle Streams Advanced Queuing, SQL tuning with Oracle Database 11g, Tom Kyte takes a first look at Oracle Database 11g Release 2 and much more.

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• Light following me around the room. Something is wrong with my shader!

  - by Robinson

  I'm trying to do a spot (Blinn) light, with falloff and attenuation. It seems to be working OK except I have a bit of a space problem. That is, whenever I move the camera the light moves to maintain the same relative position, rather than changing with the camera. This results in the light moving around, i.e. not always falling on the same surfaces. It's as if there's a flashlight attached to the camera. I'm transforming the lights beforehand into view space, so Light_Position and Light_Direction are already in eye space (I hope!). I made a little movie of what it looks like here: My camera rotating around a point inside a box. The light is fixed in the centre up and its "look at" point in a fixed position in front of it. As you can see, as the camera rotates around the origin (always looking at the centre), so don't think the box is rotating (!). The lighting follows it around. To start, some code. This is how I'm transforming the light into view space (it gets passed into the shader already in view space): // Compute eye-space light position. Math::Vector3d eyeSpacePosition = MyCamera->ViewMatrix() * MyLightPosition; MyShaderVariables->Set(MyLightPositionIndex, eyeSpacePosition); // Compute eye-space light direction vector. Math::Vector3d eyeSpaceDirection = Math::Unit(MyLightLookAt - MyLightPosition); MyCamera->ViewMatrixInverseTranspose().TransformNormal(eyeSpaceDirection); MyShaderVariables->Set(MyLightDirectionIndex, eyeSpaceDirection); Can anyone give me a clue as to what I'm doing wrong here? I think the light should remain looking at a fixed point on the box, regardless of the camera orientation. Here are the vertex and pixel shaders: /////////////////////////////////////////////////// // Vertex Shader /////////////////////////////////////////////////// #version 420 /////////////////////////////////////////////////// // Uniform Buffer Structures /////////////////////////////////////////////////// // Camera. layout (std140) uniform Camera { mat4 Camera_View; mat4 Camera_ViewInverseTranspose; mat4 Camera_Projection; }; // Matrices per model. layout (std140) uniform Model { mat4 Model_World; mat4 Model_WorldView; mat4 Model_WorldViewInverseTranspose; mat4 Model_WorldViewProjection; }; // Spotlight. layout (std140) uniform OmniLight { float Light_Intensity; vec3 Light_Position; vec3 Light_Direction; vec4 Light_Ambient_Colour; vec4 Light_Diffuse_Colour; vec4 Light_Specular_Colour; float Light_Attenuation_Min; float Light_Attenuation_Max; float Light_Cone_Min; float Light_Cone_Max; }; /////////////////////////////////////////////////// // Streams (per vertex) /////////////////////////////////////////////////// layout(location = 0) in vec3 attrib_Position; layout(location = 1) in vec3 attrib_Normal; layout(location = 2) in vec3 attrib_Tangent; layout(location = 3) in vec3 attrib_BiNormal; layout(location = 4) in vec2 attrib_Texture; /////////////////////////////////////////////////// // Output streams (per vertex) /////////////////////////////////////////////////// out vec3 attrib_Fragment_Normal; out vec4 attrib_Fragment_Position; out vec2 attrib_Fragment_Texture; out vec3 attrib_Fragment_Light; out vec3 attrib_Fragment_Eye; /////////////////////////////////////////////////// // Main /////////////////////////////////////////////////// void main() { // Transform normal into eye space attrib_Fragment_Normal = (Model_WorldViewInverseTranspose * vec4(attrib_Normal, 0.0)).xyz; // Transform vertex into eye space (world * view * vertex = eye) vec4 position = Model_WorldView * vec4(attrib_Position, 1.0); // Compute vector from eye space vertex to light (light is in eye space already) attrib_Fragment_Light = Light_Position - position.xyz; // Compute vector from the vertex to the eye (which is now at the origin). attrib_Fragment_Eye = -position.xyz; // Output texture coord. attrib_Fragment_Texture = attrib_Texture; // Compute vertex position by applying camera projection. gl_Position = Camera_Projection * position; } and the pixel shader: /////////////////////////////////////////////////// // Pixel Shader /////////////////////////////////////////////////// #version 420 /////////////////////////////////////////////////// // Samplers /////////////////////////////////////////////////// uniform sampler2D Map_Diffuse; /////////////////////////////////////////////////// // Global Uniforms /////////////////////////////////////////////////// // Material. layout (std140) uniform Material { vec4 Material_Ambient_Colour; vec4 Material_Diffuse_Colour; vec4 Material_Specular_Colour; vec4 Material_Emissive_Colour; float Material_Shininess; float Material_Strength; }; // Spotlight. layout (std140) uniform OmniLight { float Light_Intensity; vec3 Light_Position; vec3 Light_Direction; vec4 Light_Ambient_Colour; vec4 Light_Diffuse_Colour; vec4 Light_Specular_Colour; float Light_Attenuation_Min; float Light_Attenuation_Max; float Light_Cone_Min; float Light_Cone_Max; }; /////////////////////////////////////////////////// // Input streams (per vertex) /////////////////////////////////////////////////// in vec3 attrib_Fragment_Normal; in vec3 attrib_Fragment_Position; in vec2 attrib_Fragment_Texture; in vec3 attrib_Fragment_Light; in vec3 attrib_Fragment_Eye; /////////////////////////////////////////////////// // Result /////////////////////////////////////////////////// out vec4 Out_Colour; /////////////////////////////////////////////////// // Main /////////////////////////////////////////////////// void main(void) { // Compute N dot L. vec3 N = normalize(attrib_Fragment_Normal); vec3 L = normalize(attrib_Fragment_Light); vec3 E = normalize(attrib_Fragment_Eye); vec3 H = normalize(L + E); float NdotL = clamp(dot(L,N), 0.0, 1.0); float NdotH = clamp(dot(N,H), 0.0, 1.0); // Compute ambient term. vec4 ambient = Material_Ambient_Colour * Light_Ambient_Colour; // Diffuse. vec4 diffuse = texture2D(Map_Diffuse, attrib_Fragment_Texture) * Light_Diffuse_Colour * Material_Diffuse_Colour * NdotL; // Specular. float specularIntensity = pow(NdotH, Material_Shininess) * Material_Strength; vec4 specular = Light_Specular_Colour * Material_Specular_Colour * specularIntensity; // Light attenuation (so we don't have to use 1 - x, we step between Max and Min). float d = length(-attrib_Fragment_Light); float attenuation = smoothstep(Light_Attenuation_Max, Light_Attenuation_Min, d); // Adjust attenuation based on light cone. float LdotS = dot(-L, Light_Direction), CosI = Light_Cone_Min - Light_Cone_Max; attenuation *= clamp((LdotS - Light_Cone_Max) / CosI, 0.0, 1.0); // Final colour. Out_Colour = (ambient + diffuse + specular) * Light_Intensity * attenuation; }

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• Web Site Search Submission - How to Get Your Site Searched by Google

  Website submission to search engines and directories populates your website on the internet. These services significantly improve the link popularity of your website and drive targeted visitors to your website through new streams of traffic.

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• Nautilus and file command in 11.04 don't show metadata for WebM files

  - by Pili

  The file-name extension .webm is used for media files using the WebM multimedia format, which consists of the WebM container (a subset of the Matroska container) and audio and video streams with independet enconding and quality settings. Description of the issue: For files in the WebM format, the program file says that files are raw data, instead of determining and displaying the real file-format, which is WebM. Besides, Nautilus doesn't display the technical metadata of files in this format. Why is the file program not displaying the file format for WebM files?

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• Looking at EMEA and Telecommunications

  - by Brian Dayton

  With Summer holidays starting up we've been spending a lot of time speaking with our counterparts in EMEA. Often we talk about recent customer successes. One of my recent discoveries is this great video covering BT's move towards SOA and how this initiative not only accelerated order delivery time from 6 days to 6 minutes but created new revenue streams and reduced time to implementation.

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• Additional Columns in StreamInsight Event Flow Debugger

  This tool is excellent when investigating what is going on in your StreamInsight Streams.  I was looking through the menu items recently and went to Query => Event Fields I found that there were a couple of columns not added by default to the event viewer (Reminds me of the fact that the Variables viewer in SSIS hides columns also) Latency NewEndTime EnqueueTime Here they all are together.     This gives us even more information about what is going on

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• OBIA on Teradata - Part 4

  - by Mohan Ramanuja

  Monitoring Tools Name Action Teradata Manager (PMON) Check for down resources UNIX Check the /var/adm/streams log DBC.Software_Event_Log Check for hardware errors. Tunable ParametersFollowing parameters could be tuned for better performance Maximum Response Buffer Size (MAXRESPSIZE) Session Data Unit (SDU) Transport Date Unit (TDU) Related Links http://forums.teradata.com/forum http://www.info.teradata.com/Datawarehouse/eBrowseBy.cfm?page=TeradataDatabase http://www.teradataforum.com/ncr_pdf.htm http://www.teradata.com/blogs/ http://www.teradatamagazine.com/

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• Novell: 20 chances to reinvent itself

  <b>The Open Road:</b> "Novell, once the king of the software world, is like that. Over the years it has built up a broad portfolio of software (with associated revenue streams) in repeated attempts to regain its glory days. That portfolio now stifles its ability to focus on other areas with the most promise."

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• Maîtriser les flux de données sous Node : partie 2, article de Roly Fentanes traduit par vermine

  Je vous propose une traduction de l'article Mastering Node Streams: Part 2 de Roly Fentanes publié sur DailyJS. Roly Fentanes est un développeur de logiciels qui apprécie travailler avec le JavaScript et particulièrement avec Node.js. Il a d'ailleurs créé plusieurs plugins. Aujourd'hui il désire nous apprendre à maîtriser efficacement les flux de données avec Node car il estime que leur potentiel est trop souvent mis de côté.

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• audio and video data in RTP

  - by Banana

  Suppose a user wants to transmit both audio and video to another user, whose formats are AMR for audio and H.264 for video. Does the user have to transmit audio and video packets always separately? Meaning that it is not possible to mix audio and video within the same RTP packed, is that correct? If this is true I guess the RTP protocol will need to know the SSRC of both audio and video to be able to check the sync of the two streams.

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• Maîtriser les flux de données sous Node : partie 1, article de Roly Fentanes traduit par vermine

  Je vous propose une traduction de l'article Mastering Node Streams: Part 1 de Roly Fentanes publié sur DailyJS. Roly Fentanes est un développeur de logiciels qui apprécie travailler avec le JavaScript et particulièrement avec Node.js. Il a d'ailleurs créé plusieurs plugins. Aujourd'hui il désire nous apprendre à maîtriser efficacement les flux de données avec Node car il estime que leur potentiel est trop souvent mis de côté.

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• Do We Still Need Database Design in the Era of Big Data?

  Many big data application implementations seem to begin with an existing data warehouse, one or more new high-volume data streams, and some specialized hardware and software. The data storage issue is often accommodated by installing a proprietary hardware appliance that can store huge amounts of data while providing extremely fast data access. In these cases, do we really need to worry about database design?

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• Landscape 1.5: The Implications for Ubuntu Customers

  <b>WorksWithU:</b> "When Canonical launched Landscape 1.5 this week, it was a timely reminder that the software company is trying to develop multiple revenue streams beyond Ubuntu services. Moreover, Landscape 1.5 represents Canonical's latest attempt to make Ubuntu easier for businesses and solutions providers to remotely manage"

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• Why is Article Marketing One of the Best Search Engine Optimization Techniques?

  Search engine optimization is a tool that is used in order to help people to improve the rankings of their website when it comes to different search results on the Internet. The better your search engine organisation, the more likely it will be that you will generate much higher streams of traffic to your website, and therefore you will be able to achieve more sales, and therefore more wealth. When it comes to SEO techniques that you might consider using there are loads of ways of going about this.

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• Issuing Current Time Increments in StreamInsight (A Practical Example)

  The issuing of a Current Time Increment, Cti, in StreamInsight is very definitely one of the most important concepts to learn if you want your Streams to be responsive. A full discussion of how to issue Ctis is beyond the scope of this article but a very good explanation in addition to Books Online can be found in these three articles by a member of the StreamInsight team at Microsoft, Ciprian Gerea. Time in StreamInsight Series http://blogs.msdn.com/b/streaminsight/archive/2010/07/23/time-in-streaminsight-i.aspx http://blogs.msdn.com/b/streaminsight/archive/2010/07/30/time-in-streaminsight-ii.aspx http://blogs.msdn.com/b/streaminsight/archive/2010/08/03/time-in-streaminsight-iii.aspx A lot of the problems I see with unresponsive or stuck streams on the MSDN Forums are to do with how Ctis are enqueued or in a lot of cases not enqueued. If you enqueue events and never enqueue a Cti then StreamInsight will be perfectly happy. You, on the other hand, will never see data on the output as you have not told StreamInsight to flush the stream. This article deals with a specific implementation problem I had recently whilst working on a StreamInsight project. I look at some possible options and discuss why they would not work before showing the way I solved the problem. The stream of data I was dealing with on this project was very bursty that is to say when events were flowing they came through very quickly and in large numbers (1000 events/sec), but when the stream calmed down it could be a few seconds between each event. When enqueuing events into the StreamInsight engne it is best practice to do so with a StartTime that is given to you by the system producing the event . StreamInsight processes events and it doesn't matter whether those events are being pushed into the engine by a source system or the events are being read from something like a flat file in a directory somewhere. You can apply the same logic and temporal algebra to both situations. Reading from a file is an excellent example of where the time of the event on the source itself is very important. We could be reading that file a long time after it was written. Being able to read the StartTime from the events allows us to define windows that will hold the correct sets of events. I was able to do this with my stream but this is where my problems started. Below is a very simple script to create a SQL Server table and populate it with sample data that will show exactly the problem I had. CREATE TABLE [dbo].[t] ( [c1] [int] PRIMARY KEY, [c2] [datetime] NULL ) INSERT t VALUES (1,'20100810'),(2,'20100810'),(3,'20100810') Column c2 defines the StartTime of the event on the source and as you can see the values in all 3 rows of data is the same. If we read Ciprian’s articles we know that we can define how Ctis get injected into the stream in 3 different places The Stream Definition The Input Factory The Input Adapter I personally have always been a fan of enqueing Ctis through the factory. Below is code typical of what I would use to do this On the class itself I do some inheriting public class SimpleInputFactory : ITypedInputAdapterFactory<SimpleInputConfig>, ITypedDeclareAdvanceTimeProperties<SimpleInputConfig> And then I implement the following function public AdapterAdvanceTimeSettings DeclareAdvanceTimeProperties<TPayload>(SimpleInputConfig configInfo, EventShape eventShape) { return new AdapterAdvanceTimeSettings( new AdvanceTimeGenerationSettings(configInfo.CtiFrequency, TimeSpan.FromTicks(-1)), AdvanceTimePolicy.Adjust); } The configInfo .CtiFrequency property is a value I pass through to define after how many events I want a Cti to be injected and this in turn will flush through the stream of data. I usually pass a value of 1 for this setting. The second parameter determines the CTI timestamp in terms of a delay relative to the events. -1 ticks in the past results in 1 tick in the future, i.e., ahead of the event. The problem with this method though is that if consecutive events have the same StartTime then only one of those events will be enqueued. In this example I use the following to define how I assign the StartTime of my events currEvent.StartTime = (DateTimeOffset)dt.c2; If I go ahead and run my StreamInsight process with this configuration i can see on the output adapter that two events have been removed To see this in a little more depth I can use the StreamInsight Debugger and see what happens internally. What is happening here is that the first event arrives and a Cti is injected with a time of 1 tick after the StartTime of that event (Also the EndTime of the event). The second event arrives and it has a StartTime of before the Cti and even though we specified AdvanceTimePolicy.Adjust on the factory we know that a point event can never be adjusted like this and the event is dropped. The same happens for the third event as well (The second and third events get trumped by the Cti). For a more detailed discussion of why this happens look here http://www.sqlis.com/sqlis/post/AdvanceTimePolicy-and-Point-Event-Streams-In-StreamInsight.aspx We end up with a single event being pushed into the output adapter and our result now makes sense. The next way I tried to solve this problem by changing the value of the second parameter to TimeSpan.Zero Here is how my factory code now looks public AdapterAdvanceTimeSettings DeclareAdvanceTimeProperties<TPayload>(SimpleInputConfig configInfo, EventShape eventShape) { return new AdapterAdvanceTimeSettings( new AdvanceTimeGenerationSettings(configInfo.CtiFrequency, TimeSpan.Zero), AdvanceTimePolicy.Adjust); } What I am doing here is declaring a policy that says inject a Cti together with every event and stamp it with a StartTime that is equal to the start time of the event itself (TimeSpan.Zero). This method has plus points as well as a downside. The upside is that no events will be lost by having the same StartTime as previous events. The Downside is that because the Cti is declared with the StartTime of the event itself then it does not actually flush that particular event because in the StreamInsight algebra, a Cti commits only those events that occurred strictly before them. To flush the events we need a Cti to be enqueued with a greater StartTime than the events themselves. Here is what happened when I ran this configuration As you can see all we got through was the Cti and none of the events. The debugger output shows the stamps on the Cti and the events themselves. Because the Cti issued has the same timestamp (StartTime) as the events then none of the events get flushed. I was nearly there but not quite. Because my stream was bursty it was possible that the next event would not come along for a few seconds and this was far too long for an event to be enqueued and not be flushed to the output adapter. I needed another solution. Two possible solutions crossed my mind although only one of them made sense when I explored it some more. Where multiple events have the same StartTime I could add 1 tick to the first event, two to the second, three to third etc thereby giving them unique StartTime values. Add a timer to manually inject Ctis The problem with the first implementation is that I would be giving the events a new StartTime. This would cause me the following problems If I want to define windows over the stream then some events may not be captured in the right windows and therefore any calculations on those windows I did would be wrong What would happen if we had 10,000 events with the same StartTime? I would enqueue them with StartTime + n ticks. Along comes a genuine event with a StartTime of the very first event + 1 tick. It is now too far in the past as far as my stream is concerned and it would be dropped. Not what I would want to do at all. I decided then to look at the Timer based solution I created a timer on my input adapter that elapsed every 200ms. private Timer tmr; public SimpleInputAdapter(SimpleInputConfig configInfo) { ctx = new SimpleTimeExtractDataContext(configInfo.ConnectionString); this.configInfo = configInfo; tmr = new Timer(200); tmr.Elapsed += new ElapsedEventHandler(t_Elapsed); tmr.Enabled = true; } void t_Elapsed(object sender, ElapsedEventArgs e) { ts = DateTime.Now - dtCtiIssued; if (ts.TotalMilliseconds >= 200 && TimerIssuedCti == false) { EnqueueCtiEvent(System.DateTime.Now.AddTicks(-100)); TimerIssuedCti = true; } }   In the t_Elapsed event handler I find out the difference in time between now and when the last event was processed (dtCtiIssued). I then check to see if that is greater than or equal to 200ms and if the last issuing of a Cti was done by the timer or by a genuine event (TimerIssuedCti). If I didn’t do this check then I would enqueue a Cti every time the timer elapsed which is not something I wanted. If the difference between the two times is greater than or equal to 500ms and the last event enqueued was by a real event then I issue a Cti through the timer to flush the event Queue, otherwise I do nothing. When I enqueue the Ctis into my stream in my ProduceEvents method I also set the values of dtCtiIssued and TimerIssuedCti   currEvent = CreateInsertEvent(); currEvent.StartTime = (DateTimeOffset)dt.c2; TimerIssuedCti = false; dtCtiIssued = currEvent.StartTime; If I go ahead and run this configuration I see the following in my output. As we can see the first Cti gets enqueued as before but then another is enqueued by the timer and because this has a later timestamp it flushes the enqueued events through the engine. Conclusion Hopefully this has shown how the enqueuing of Ctis can have a dramatic effect on the responsiveness of your output in StreamInsight. Understanding the temporal nature of the product is for me one of the most important things you can learn. I have attached my solution for the demos. It is all in one project and testing each variation is a simple matter of commenting and un-commenting the parts in the code we have been dealing with here.

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• compiling openss7

  - by deddihp

  hello, i got an error while compiling openss7. Do you know what happen ? Thanks.... gcc -DHAVE_CONFIG_H -I. -I. -I. -DLFS=1 -imacros ./config.h -imacros ./include/sys/config.h -I. -I./include -I./include -nostdinc -iwithprefix include -DLINUX -D__KERNEL__ -I/usr/src/linux-headers-lbm-2.6.28-11-generic -I/lib/modules/2.6.28-11-generic/build/include -Iinclude2 -I/lib/modules/2.6.28-11-generic/build/include -I/lib/modules/2.6.28-11-generic/build/arch/x86/include -include /lib/modules/2.6.28-11-generic/build/include/linux/autoconf.h -Iubuntu/include -I/lib/modules/2.6.28-11-generic/build/ubuntu/include -I/lib/modules/2.6.28-11-generic/build/arch/x86/include/asm/mach-default '-DKBUILD_STR(s)=#s' '-DKBUILD_BASENAME=KBUILD_STR('`echo libLfS_specfs_a-specfs.o | sed -e 's,lib.*_a-,,;s,\.o,,;s,-,_,g'`')' -DMODULE -D__NO_VERSION__ -DEXPORT_SYMTAB -Wall -Wundef -Wstrict-prototypes -Wno-trigraphs -fno-strict-aliasing -fno-common -Werror-implicit-function-declaration -O2 -m32 -msoft-float -mregparm=3 -freg-struct-return -mpreferred-stack-boundary=2 -march=i586 -mtune=generic -Wa,-mtune=generic32 -pipe -Wno-sign-compare -fno-asynchronous-unwind-tables -mno-sse -mno-mmx -mno-sse2 -mno-3dnow -fno-stack-protector -fno-omit-frame-pointer -fno-optimize-sibling-calls -Wdeclaration-after-statement -Wno-pointer-sign -fwrapv -ffreestanding -c -o libLfS_specfs_a-specfs.o `test -f 'src/kernel/specfs.c' || echo './'`src/kernel/specfs.c In file included from src/kernel/specfs.c:123: src/kernel/strspecfs.c: In function ‘specfs_init_cache’: src/kernel/strspecfs.c:1406: warning: passing argument 5 of ‘kmem_cache_create’ from incompatible pointer type src/kernel/strspecfs.c:1406: error: too many arguments to function ‘kmem_cache_create’ In file included from src/kernel/specfs.c:126: src/kernel/strlookup.c: In function ‘cdev_lookup’: src/kernel/strlookup.c:508: warning: format not a string literal and no format arguments src/kernel/strlookup.c:514: warning: format not a string literal and no format arguments src/kernel/strlookup.c:521: warning: format not a string literal and no format arguments src/kernel/strlookup.c: In function ‘cdrv_lookup’: src/kernel/strlookup.c:562: warning: format not a string literal and no format arguments src/kernel/strlookup.c: In function ‘fmod_lookup’: src/kernel/strlookup.c:604: warning: format not a string literal and no format arguments src/kernel/strlookup.c: In function ‘cdev_search’: src/kernel/strlookup.c:709: warning: format not a string literal and no format arguments src/kernel/strlookup.c:716: warning: format not a string literal and no format arguments src/kernel/strlookup.c: In function ‘fmod_search’: src/kernel/strlookup.c:768: warning: format not a string literal and no format arguments src/kernel/strlookup.c: In function ‘cmin_search’: src/kernel/strlookup.c:823: warning: format not a string literal and no format arguments src/kernel/strlookup.c:830: warning: format not a string literal and no format arguments src/kernel/strlookup.c:840: warning: format not a string literal and no format arguments src/kernel/strlookup.c:848: warning: format not a string literal and no format arguments In file included from src/kernel/specfs.c:129: src/kernel/strattach.c: In function ‘check_mnt’: src/kernel/strattach.c:131: error: ‘struct vfsmount’ has no member named ‘mnt_namespace’ src/kernel/strattach.c:131: error: ‘struct task_struct’ has no member named ‘namespace’ src/kernel/strattach.c: In function ‘do_fattach’: src/kernel/strattach.c:200: error: ‘struct nameidata’ has no member named ‘dentry’ src/kernel/strattach.c:200: error: ‘struct nameidata’ has no member named ‘mnt’ src/kernel/strattach.c:200: error: ‘struct nameidata’ has no member named ‘dentry’ src/kernel/strattach.c:203: error: ‘struct nameidata’ has no member named ‘mnt’ src/kernel/strattach.c:208: error: ‘struct nameidata’ has no member named ‘mnt’ src/kernel/strattach.c:208: error: ‘struct nameidata’ has no member named ‘mnt’ src/kernel/strattach.c:208: error: ‘struct nameidata’ has no member named ‘dentry’ src/kernel/strattach.c:226: error: implicit declaration of function ‘path_release’ src/kernel/strattach.c: In function ‘do_fdetach’: src/kernel/strattach.c:253: error: ‘struct nameidata’ has no member named ‘dentry’ src/kernel/strattach.c:253: error: ‘struct nameidata’ has no member named ‘mnt’ src/kernel/strattach.c:255: error: ‘struct nameidata’ has no member named ‘mnt’ src/kernel/strattach.c:257: error: ‘struct nameidata’ has no member named ‘dentry’ src/kernel/strattach.c:262: error: ‘struct nameidata’ has no member named ‘mnt’ src/kernel/strattach.c:265: error: ‘struct nameidata’ has no member named ‘mnt’ In file included from src/kernel/specfs.c:132: src/kernel/strpipe.c: In function ‘do_spipe’: src/kernel/strpipe.c:372: warning: assignment discards qualifiers from pointer target type make[4]: *** [libLfS_specfs_a-specfs.o] Error 1 make[4]: Leaving directory `/home/deddihp/dev/source/openss7-0.9.2.G/streams-0.9.2.4' make[3]: *** [all-recursive] Error 1 make[3]: Leaving directory `/home/deddihp/dev/source/openss7-0.9.2.G/streams-0.9.2.4' make[2]: *** [all] Error 2 make[2]: Leaving directory `/home/deddihp/dev/source/openss7-0.9.2.G/streams-0.9.2.4' make[1]: *** [all-recursive] Error 1 make[1]: Leaving directory `/home/deddihp/dev/source/openss7-0.9.2.G' make: *** [all] Error 2

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• Big Data: Size isn’t everything

  - by Simon Elliston Ball

  Big Data has a big problem; it’s the word “Big”. These days, a quick Google search will uncover terabytes of negative opinion about the futility of relying on huge volumes of data to produce magical, meaningful insight. There are also many clichéd but correct assertions about the difficulties of correlation versus causation, in massive data sets. In reading some of these pieces, I begin to understand how climatologists must feel when people complain ironically about “global warming” during snowfall. Big Data has a name problem. There is a lot more to it than size. Shape, Speed, and…err…Veracity are also key elements (now I understand why Gartner and the gang went with V’s instead of S’s). The need to handle data of different shapes (Variety) is not new. Data developers have always had to mold strange-shaped data into our reporting systems, integrating with semi-structured sources, and even straying into full-text searching. However, what we lacked was an easy way to add semi-structured and unstructured data to our arsenal. New “Big Data” tools such as MongoDB, and other NoSQL (Not Only SQL) databases, or a graph database like Neo4J, fill this gap. Still, to many, they simply introduce noise to the clean signal that is their sensibly normalized data structures. What about speed (Velocity)? It’s not just high frequency trading that generates data faster than a single system can handle. Many other applications need to make trade-offs that traditional databases won’t, in order to cope with high data insert speeds, or to extract quickly the required information from data streams. Unfortunately, many people equate Big Data with the Hadoop platform, whose batch driven queries and job processing queues have little to do with “velocity”. StreamInsight, Esper and Tibco BusinessEvents are examples of Big Data tools designed to handle high-velocity data streams. Again, the name doesn’t do the discipline of Big Data any favors. Ultimately, though, does analyzing fast moving data produce insights as useful as the ones we get through a more considered approach, enabled by traditional BI? Finally, we have Veracity and Value. In many ways, these additions to the classic Volume, Velocity and Variety trio acknowledge the criticism that without high-quality data and genuinely valuable outputs then data, big or otherwise, is worthless. As a discipline, Big Data has recognized this, and data quality and cleaning tools are starting to appear to support it. Rather than simply decrying the irrelevance of Volume, we need as a profession to focus how to improve Veracity and Value. Perhaps we should just declare the ‘Big’ silent, embrace these new data tools and help develop better practices for their use, just as we did the good old RDBMS? What does Big Data mean to you? Which V gives your business the most pain, or the most value? Do you see these new tools as a useful addition to the BI toolbox, or are they just enabling a dangerous trend to find ghosts in the noise?

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• career in Mobile sw/Application Development [closed]

  - by pramod

  i m planning to do a course on Wireless & mobile computing.The syllabus are given below.Please check & let me know whether its worth to do.How is the job prospects after that.I m a fresher & from electronic Engg.The modules are- *Wireless and Mobile Computing (WiMC) – Modules* C, C++ Programming and Data Structures 100 Hours C Revision C, C++ programming tools on linux(Vi editor, gdb etc.) OOP concepts Programming constructs Functions Access Specifiers Classes and Objects Overloading Inheritance Polymorphism Templates Data Structures in C++ Arrays, stacks, Queues, Linked Lists( Singly, Doubly, Circular) Trees, Threaded trees, AVL Trees Graphs, Sorting (bubble, Quick, Heap , Merge) System Development Methodology 18 Hours Software life cycle and various life cycle models Project Management Software: A Process Various Phases in s/w Development Risk Analysis and Management Software Quality Assurance Introduction to Coding Standards Software Project Management Testing Strategies and Tactics Project Management and Introduction to Risk Management Java Programming 110 Hours Data Types, Operators and Language Constructs Classes and Objects, Inner Classes and Inheritance Inheritance Interface and Package Exceptions Threads Java.lang Java.util Java.awt Java.io Java.applet Java.swing XML, XSL, DTD Java n/w programming Introduction to servlet Mobile and Wireless Technologies 30 Hours Basics of Wireless Technologies Cellular Communication: Single cell systems, multi-cell systems, frequency reuse, analog cellular systems, digital cellular systems GSM standard: Mobile Station, BTS, BSC, MSC, SMS sever, call processing and protocols CDMA standard: spread spectrum technologies, 2.5G and 3G Systems: HSCSD, GPRS, W-CDMA/UMTS,3GPP and international roaming, Multimedia services CDMA based cellular mobile communication systems Wireless Personal Area Networks: Bluetooth, IEEE 802.11a/b/g standards Mobile Handset Device Interfacing: Data Cables, IrDA, Bluetooth, Touch- Screen Interfacing Wireless Security, Telemetry Java Wireless Programming and Applications Development(J2ME) 100 Hours J2ME Architecture The CLDC and the KVM Tools and Development Process Classification of CLDC Target Devices CLDC Collections API CLDC Streams Model MIDlets MIDlet Lifecycle MIDP Programming MIDP Event Architecture High-Level Event Handling Low-Level Event Handling The CLDC Streams Model The CLDC Networking Package The MIDP Implementation Introduction to WAP, WML Script and XHTML Introduction to Multimedia Messaging Services (MMS) Symbian Programming 60 Hours Symbian OS basics Symbian OS services Symbian OS organization GUI approaches ROM building Debugging Hardware abstraction Base porting Symbian OS reference design porting File systems Overview of Symbian OS Development – DevKits, CustKits and SDKs CodeWarrior Tool Application & UI Development Client Server Framework ECOM STDLIB in Symbian iPhone Programming 80 Hours Introducing iPhone core specifications Understanding iPhone input and output Designing web pages for the iPhone Capturing iPhone events Introducing the webkit CSS transforms transitions and animations Using iUI for web apps Using Canvas for web apps Building web apps with Dashcode Writing Dashcode programs Debugging iPhone web pages SDK programming for web developers An introduction to object-oriented programming Introducing the iPhone OS Using Xcode and Interface builder Programming with the SDK Toolkit OS Concepts & Linux Programming 60 Hours Operating System Concepts What is an OS? Processes Scheduling & Synchronization Memory management Virtual Memory and Paging Linux Architecture Programming in Linux Linux Shell Programming Writing Device Drivers Configuring and Building GNU Cross-tool chain Configuring and Compiling Linux Virtual File System Porting Linux on Target Hardware WinCE.NET and Database Technology 80 Hours Execution Process in .NET Environment Language Interoperability Assemblies Need of C# Operators Namespaces & Assemblies Arrays Preprocessors Delegates and Events Boxing and Unboxing Regular Expression Collections Multithreading Programming Memory Management Exceptions Handling Win Forms Working with database ASP .NET Server Controls and client-side scripts ASP .NET Web Server Controls Validation Controls Principles of database management Need of RDBMS etc Client/Server Computing RDBMS Technologies Codd’s Rules Data Models Normalization Techniques ER Diagrams Data Flow Diagrams Database recovery & backup SQL Android Application 80 Hours Introduction of android Why develop for android Android SDK features Creating android activities Fundamental android UI design Intents, adapters, dialogs Android Technique for saving data Data base in Androids Maps, Geocoding, Location based services Toast, using alarms, Instant messaging Using blue tooth Using Telephony Introducing sensor manager Managing network and wi-fi connection Advanced androids development Linux kernel security Implement AIDL Interface. Project 120 Hours

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• Silverlight Cream for December 13, 2010 -- #1010

  - by Dave Campbell

  In this Issue: Rénald Nollet, Benjamin Gavin, Dennis Doomen, Tim Greenfield, Mike Taulty, Jeff Blankenburg, Michael Crump, Laurent Duveau, Dragos Manolescu, KeyboardP, Yochay Kiriaty. Above the Fold: Silverlight: "Silverlight RIA Services and Basic, Anonymous Authentication" Benjamin Gavin WP7: "lving Circular Navigation in Windows Phone Silverlight Applications" Yochay Kiriaty SQL Azure: "SQL Azure Database Manager – Part 1 : How to connect to your SQL Azure DB" Rénald Nollet Shoutouts: Yochay Kiriaty has a post up on the Windows Phone Devloper Blog about open source (MSPL) projects helping WP7 devs: Windows Phone Recipes – Helping the Community Jesse Liberty's latest Yet Another Podcast is up and thie time it's Joe Stagner: Yet Another Podcast #18 – Joe Stagner Josh Schwartzberg sent me this link to what is apparently his yearly web-only rock Christmas album: MetalXmas... done in Silverlight and RIA Services From SilverlightCream.com: SQL Azure Database Manager – Part 1 : How to connect to your SQL Azure DB Rénald Nollet posted Part 1 of a series on a SQL Azure database manager all in Silverlight... has a live demo running, some description, and is making us wait for the next part! Silverlight RIA Services and Basic, Anonymous Authentication Benjamin Gavin has a quick post up resolving a basic RIA Services problem that I bet a lot of folks are looking for the answer on... like 500 series errors... cool little find he ferreted out... A night of Silverlight, WPF, unit testing and Caliburn Micro Dennis Doomen in concert with his employer gave a couple talks at the local DotNED user group, and covered literally a cornucopia of topics... slides, and example code for both talks... lotsa material here... Tim Greenfield on PuzzleTouch WP7 Application Tim Greenfield is the latest WP7 app developer to be interviewed by the SilverlightShow crew... lots of interesting comments and insight from Tim. Rebuilding the PDC 2010 Silverlight Application (Part 4) Mike Taulty has part 4 of his PDC 2010 Silverlight app construction project up and is taking the app into Blend, and the considerations that brought to the table. What I Learned In WP7 – Issue #2 Jeff Blankenburg continues his "What I Learned" series with this discussion about fonts, the Non-Linear Navigation service I mention below, and possible WP7 jobs. Part 3 of 4 : Tips/Tricks for Silverlight Developers Michael Crump has Part 3 of his Tips/Tricks up today. Lots of goodies this time: underlining in a TextBlock, getting browser info, startup params, VisualTreeHelper, and child windows. My Windows Phone 7 presentation in Montreal Laurent Duveau gave a WP7 presentation in Montreal as part of the Microsoft Windows Phone 7 Developer's Briefing, and has posted his materials and slide deck WP7 Code: Mocking Event Streams with IEnumerable Dragos Manolescu has a very cool post up on using IEnumerable to Mock event streams by leveraging the IObservable/IEnumerable duality, and uses the 2D bubble app that you can run and test in the emulator without needing an accelerometer Transparent Wallpapers – Video Tutorial KeyboardP has had so many queries about his Transparent wallpaper for WP7 that he produced a video tutorial for it... Solving Circular Navigation in Windows Phone Silverlight Applications Yochay Kiriaty discusses the first recipe they are releasing ... see the shoutout above, a Nonlinear Navigation Service ... to help with apps that have loops in navigation. Stay in the 'Light! Twitter SilverlightNews | Twitter WynApse | WynApse.com | Tagged Posts | SilverlightCream Join me @ SilverlightCream | Phoenix Silverlight User Group Technorati Tags: Silverlight    Silverlight 3    Silverlight 4    Windows Phone MIX10

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• First Day of Data Integration Track at Oracle OpenWorld 2012

  - by Irem Radzik

  OpenWorld started full speed for us today with a great set of sessions in the Data Integration track. After the exciting keynote session on Oracle Database 12c in the morning; Brad Adelberg, VP of Development for Data Integration products, presented Oracle’s data integration product strategy. His session highlighted the new requirements for data integration to achieve pervasive and continuous access to trusted data. The new requirements and product focus areas presented in this session are: Provide access to any data at any source On premise or on cloud Enable zero downtime operations and maximum performance Leverage real-time data for accurate business insights And ensure high quality data is used across the enterprise During the session Brad walked over how Oracle’s data integration products, Oracle Data Integrator, Oracle GoldenGate, Oracle Enterprise Data Quality, and Oracle Data Service Integrator, deliver on these requirements and how recent product releases build on this strategy. Soon after Brad’s session we heard from a panel of Oracle GoldenGate customers, St. Jude Medical, Equifax, and Bank of America, how they achieved zero downtime operations using Oracle GoldenGate. The panel presented different use cases of GoldenGate, from Active-Active replication to offloading reporting. Especially St. Jude Medical’s implementation, which involves the alert management system for patients that use their pacemakers, reminded me in some cases downtime of mission-critical systems can be a matter of life or death. It is very comforting to hear that GoldenGate delivers highly-reliable continuous availability for life-saving medical systems. In the afternoon, Nick Wagner from the Product Management team and I followed the customer panel with the review of Oracle GoldenGate 11gR2’s New Features.  Many questions we received from audience were about GoldenGate’s new Integrated Capture for Oracle Database and the enhanced Conflict Management features, as well as how GoldenGate compares to Oracle Streams. In addition to giving details on GoldenGate’s unique capability to capture changed data with a direct integration to the Oracle DBMS engine, we reminded the audience that enhancements to Oracle GoldenGate will continue, while Streams will be primarily maintained. Last but not least, Tim Garrod and Ryan Fonnett from Raymond James presented a unified real-time data integration solution using Oracle Data Integrator and GoldenGate for their operational data store (ODS). The ODS supports application services across the enterprise and providing timely data is a critical requirement. In this solution, Oracle GoldenGate does the log-based change data capture for Oracle Data Integrator’s near real-time data integration between heterogeneous systems. As Raymond James’ ODS supports mission-critical services for their advisors, the project team had to set up this integration environment to be highly available. During the session, Ryan and Tim explained how they use ODI to enable automated process execution and “always-on” integration processes. Their presentation included 2 demonstrations that focused on CDC patterns deployed with ODI and the automated multi-instance execution and monitoring. We are very grateful to Tim and Ryan for their very-well prepared presentation at OpenWorld this year. Day 2 (Tuesday) will be also a busy day in our track. In addition to the Fusion Middleware Innovation Awards ceremony at 11:45am at Moscone West 3001, we have the following DI sessions Real-World Operational Reporting Customer Panel 11:45am Moscone West- 3005 Oracle Data Integrator Product Update and Future Strategy 1:15pm Moscone West- 3005 High-volume OLTP with Oracle GoldenGate: Best Practices from Comcast 1:15pm Moscone West- 3005 Everything You need to Know about Monitoring Oracle GoldenGate 5pm Moscone West-3005 If you are at OpenWorld please join us in these sessions. For a full review of data integration track at OpenWorld please see our Focus-On document.

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• Windows Azure Recipe: Social Web / Big Media

  - by Clint Edmonson

  With the rise of social media there’s been an explosion of special interest media web sites on the web. From athletics to board games to funny animal behaviors, you can bet there’s a group of people somewhere on the web talking about it. Social media sites allow us to interact, share experiences, and bond with like minded enthusiasts around the globe. And through the power of software, we can follow trends in these unique domains in real time. Drivers Reach Scalability Media hosting Global distribution Solution Here’s a sketch of how a social media application might be built out on Windows Azure: Ingredients Traffic Manager (optional) – can be used to provide hosting and load balancing across different instances and/or data centers. Perfect if the solution needs to be delivered to different cultures or regions around the world. Access Control – this service is essential to managing user identity. It’s backed by a full blown implementation of Active Directory and allows the definition and management of users, groups, and roles. A pre-built ASP.NET membership provider is included in the training kit to leverage this capability but it’s also flexible enough to be combined with external Identity providers including Windows LiveID, Google, Yahoo!, and Facebook. The provider model has extensibility points to hook into other identity providers as well. Web Role – hosts the core of the web application and presents a central social hub users. Database – used to store core operational, functional, and workflow data for the solution’s web services. Caching (optional) – as a web site traffic grows caching can be leveraged to keep frequently used read-only, user specific, and application resource data in a high-speed distributed in-memory for faster response times and ultimately higher scalability without spinning up more web and worker roles. It includes a token based security model that works alongside the Access Control service. Tables (optional) – for semi-structured data streams that don’t need relational integrity such as conversations, comments, or activity streams, tables provide a faster and more flexible way to store this kind of historical data. Blobs (optional) – users may be creating or uploading large volumes of heterogeneous data such as documents or rich media. Blob storage provides a scalable, resilient way to store terabytes of user data. The storage facilities can also integrate with the Access Control service to ensure users’ data is delivered securely. Content Delivery Network (CDN) (optional) – for sites that service users around the globe, the CDN is an extension to blob storage that, when enabled, will automatically cache frequently accessed blobs and static site content at edge data centers around the world. The data can be delivered statically or streamed in the case of rich media content. Training These links point to online Windows Azure training labs and resources where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure (16 labs) Windows Azure is an internet-scale cloud computing and services platform hosted in Microsoft data centers, which provides an operating system and a set of developer services which can be used individually or together. It gives developers the choice to build web applications; applications running on connected devices, PCs, or servers; or hybrid solutions offering the best of both worlds. New or enhanced applications can be built using existing skills with the Visual Studio development environment and the .NET Framework. With its standards-based and interoperable approach, the services platform supports multiple internet protocols, including HTTP, REST, SOAP, and plain XML SQL Azure (7 labs) Microsoft SQL Azure delivers on the Microsoft Data Platform vision of extending the SQL Server capabilities to the cloud as web-based services, enabling you to store structured, semi-structured, and unstructured data. Windows Azure Services (9 labs) As applications collaborate across organizational boundaries, ensuring secure transactions across disparate security domains is crucial but difficult to implement. Windows Azure Services provides hosted authentication and access control using powerful, secure, standards-based infrastructure. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

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• Why I Love the Social Management Platform I Use

  - by Mike Stiles

  Not long ago, I asked the product heads for the various components of the Oracle Social Cloud’s SRM to say what they thought was coolest about their component. And while they did a fine job, it was recently pointed out to me that no one around here uses the platform in a real-world setting more than I do, as I not only blog and podcast my brains out, I also run Oracle Social’s own social properties. Of course I’m pro-Oracle Social’s product. Duh. But if you can get around immediately writing this off as a puff piece, there are real reasons beyond my employment that the Oracle SRM works for me as a community manager. If it didn’t, I could have simply written about something else, like how people love smartphones or something genius like that. Post Grid I like seeing what I want to see. I’m difficult that way. Post grid lets me see all posts for all channels, with custom columns showing me how posts are doing. I can filter the grid by social channel, published, scheduled, draft, suggested, etc. Then there’s a pullout side panel that shows me post details, including engagement analytics. From the pullout, I can preview the post, do a quick edit, a full edit, or (my favorite) copy a post so I can edit it and schedule it for other times so I don’t have to repeat from scratch. I’m not lazy, just time conscious. The Post Creation Environment Given our post volume, I need this to be as easy as it can be. I can highlight which streams I want the post to go out on, edit for the individual streams, maintain a media library that’s easy to upload to and attach from, tag posts, insert links that auto-shorten to an orac.le shortlink, schedule with a nice calendar visual, geo-target, drop photos inline into Twitter, and review each post. Watching My Channels The Engage component of the Oracle SRM brings in and drops into a grid the activity that’s happening on all my channels. I keep this open round-the-clock. Again, I get to see only what I want; social network, stream, unread messages, engagement by how I labeled them, and date range. I can bring up a post with a click, reply, label it, retweet it, assign it, delete it, archive it, etc. So don’t bother trying to be a troll on my channels. Analytics Social publishing and engaging 24/7 would be pretty unrewarding if I couldn’t see how our audience was responding. Frankly, I get more analytics than I know what to do with (I’m a content creator, not a data analyst). But I do know what numbers I care about, and they’re available by channel, date range, and campaigns. I’m seeing fan count, sources and demographics. I’m seeing engagement, what kinds of posts are getting engagement, and top engagers. I’m seeing my reach, both organic and paid. I’m seeing how individual posts performed in terms of engagement and virality, and posting time/date insight. Have I covered all the value propositions? I’ve covered pathetically few of them. It would be impossible in blog length to give shout-outs to the vast number of features and functionalities. From organizing teams and managing permissions with Workflow to the powerful ability to monitor topics (and your competition) across the web in Listen, it’s a major, and increasingly necessary, weapon in your social marketing arsenal. The life of a Community Manager is not for everybody. So if the Oracle SRM can actually make a Community Manager’s life easier, what’s not to love? I invite you to take a look at and participate in our Oracle Social Cloud social channels! Facebook Twitter YouTube Google Plus LinkedIn Daily Podcast on iHeartRadio @mikestiles @oraclesocial Photo: freeimages.com

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• Five Key Trends in Enterprise 2.0 for 2011

  - by kellsey.ruppel(at)oracle.com

  We recently sat down with Andy MacMillan, an industry veteran and vice president of product management for Enterprise 2.0 at Oracle, to get his take on the year ahead in Enterprise 2.0 (E2.0). He offered us his five predictions about the ways he believes E2.0 technologies will transform business in 2011. 1. Forward-thinking organizations will achieve an unprecedented level of organizational awareness. Enterprise 2.0 and Web 2.0 technologies have already transformed the ways customers, employees, partners, and suppliers communicate and stay informed. But this year we are anticipating that organizations will go to the next step and integrate social activities with business applications to deliver rich contextual "activity streams." Activity streams are a new way for enterprise users to get relevant information as quickly as it happens, by navigating to that information in context directly from their portal. We don't mean syndicating social activities limited to a single application. Instead, we believe back-office systems will be combined with social media tools to drive how users make informed business decisions in brand new ways. For example, an account manager might log into the company portal and automatically receive notification that colleagues are closing business around a certain product in his market segment. With a single click, he can reach out instantly to these colleagues via social media and learn from their successes to drive new business opportunities in his own area. 2. Online customer engagement will become a high priority for CMOs. A growing number of chief marketing officers (CMOs) have created a new direct report called "head of online"--a senior marketing executive responsible for all engagements with customers and prospects via the Web, mobile, and social media. This new field has been dubbed "Web experience management" or "online customer engagement" by firms and analyst organizations. It is likely to rapidly increase demand for a host of new business objectives and metrics from Web content management solutions. As companies interface with customers more and more over the Web, Web experience management solutions will help deliver more targeted interactions to ensure increased customer loyalty while meeting sales and business objectives. 3. Real composite applications will be widely adopted. We expect organizations to move from the concept of a single "uber-portal" that encompasses all the necessary features to a more modular, component-based concept for composite applications. This approach is now possible as IT and power users are empowered to assemble new, purpose-built composite applications quickly from existing components. 4. Records management will drive ECM consolidation. We continue to see a significant shift in the approach to records management. Several years ago initiatives were focused on overlaying records management across a set of electronic repositories and physical storage locations. We believe federated records management will continue, but we also expect to see records management driving conversations around single-platform content management consolidation. 5. Organizations will demand ECM at extreme scale. We have already seen a trend within IT organizations to provide a common, highly scalable infrastructure to consolidate and support content and information needs. But as data sizes grow exponentially, ECM at an extreme scale is likely to spread at unprecedented speeds this year. This makes sense as regulations and transparency requirements rise. The model in which ECM and lightweight CMS systems provide basic content services such as check-in, update, delete, and search has converged around a set of industry best practices and has even been coded into new industry standards such as content management interoperability services. As these services converge and the demand for them accelerates, organizations are beginning to rationalize investments into a single, highly scalable infrastructure. Is your organization ready for Enterprise 2.0 in 2011? Learn more.

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• Best approach to depth streaming via existing codec

  - by Kevin

  I'm working on a development system (and game) intended for games set mostly in static third-person views. We produce our scenery by CG and photographic techniques. Our background art is rendered off-line by a production-grade renderer. To allow the runtime imagery to properly interact with the background art, I wrote a program to convert from depth output by Mental Ray into a texture, and a pixel shader to draw a quad such that the Z data comes from the texture. This technique is working out very well, but now we've decided that some of the camera angle changes between scenes should be animated. The animation itself is straightforward to produce from our CG models. We intend to encode it to some HD video codec such as H.264. The problem is that in order to maintain our runtime imagery on the screen, the depth buffer will need to be loaded for each video frame. Due to the bandwidth, the video's depth data will need to be compressed efficiently. I've looked into methods for performing temporal compression of depth info and found an interesting research paper here: http://web4.cs.ucl.ac.uk/staff/j.kautz/publications/depth-streaming.pdf The method establishes a mapping between 16-bit depth values and YCbCr values. The mapping is tuned to the properties of existing video codecs in order to maximize precision of the decoded depths after the YCbCr has undergone video compression. It allows an existing, unmodified video codec to be used on the backend. I'm looking at how to pull this off with the least possible work. (This design change was unplanned.) Our game engine itself is native C++, presently for Win32 and DirectX, although we've worked hard to keep platform dependence segregated because we intend other ports. We don't have motion video facilities in the engine yet but will ultimately need that anyway for cinematics. I was planning on using some off-the-shelf motion video solution we can plug into our engine, and haven't chosen one yet. This new added requirement makes selecting one harder since, among other things, we'll now need to bypass colourspace conversion on one of the streams, and also will need to be playing two streams simultaneously in lockstep, on top of in some cases audio on one of them (for the cinematics). I'm also wondering if it's possible (or even useful) to do the conversion from YCbCr to depth in a pixel shader, or if it's better to just do it in CPU and separately load the resulting depth values into a locked tex. The conversion unfortunately does involve branching logic per-pixel. (There are more naive mappings that don't need branching, but they produce inferior results.) It could be reduced to a table lookup but the table would be 32MB. Programming is second-nature to me but I'm not that experienced with pix shaders and have zero knowledge of off-the-shelf video solutions. I'd therefore be interested in advice from others who may have dealt more with depth streaming, pixel shaders, and/or off-the-shelf codecs, regarding how feasible the proposed application is and what off-the-shelf video systems out there would best get along with this usage case.

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• How to use HTTP Live Streaming protocol in iPhone SDk 3.0

  - by Pugal Devan

  Hi Guys, i have developed on IPhone application and submitted to App store. But my application got rejected based on below criteria. Thank you for submitting your yyyyyyyy application. We have reviewed your application and have determined that it cannot be posted to the App Store at this time because it is not using the HTTP Live Streaming protocol to broadcast streaming video. HTTP Live Streaming is required when streaming video feeds over the cellular network, in order to have an optimal user experience and utilize cellular best practices. This protocol automatically determines bandwidth available to users and adjusts the bandwidth appropriately, even as bandwidth streams change. This allows you the flexibility to have as many streams as you like, as long as 64 kbps is set as the baseline feed. In my apps i have to stream prerecorded m4v and mp3 files from my server. I used MPMoviePlayerController to stream and play those videos / audio. How to implement the HTTP Live Streaming Protocol in my apps? Also can i get some sample code? Thanks in advance!

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