Search Results

Search found 18865 results on 755 pages for 'ghosts in the machine'.

Page 6/755 | < Previous Page | 2 3 4 5 6 7 8 9 10 11 12 13  | Next Page >

• Virtual Machine with Bridged Adapter to Centos not accepting ssh from host machine

  - by javadba

  I have a bridged connection on VirtualBox from os/x 10.8.5 host to Centos 5.8 client. But I suspect this is more of a general issue than specific to the host and precise version of linux. Shown below are the networking info from the VirtualBox and from within the guest sshd is running on port 22: [root@oracle-linux ~]# ps -ef | grep sshd | grep -v grep root 3103 1 0 20:22 ? 00:00:00 /usr/sbin/sshd root 14994 3103 0 21:23 ? 00:00:00 sshd: root@pts/1 Port 22 listening: [root@oracle-linux ~]# netstat -an | grep 22 | grep tcp | grep LIST tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN tcp 0 0 127.0.0.1:2207 0.0.0.0:* LISTEN tcp 0 0 127.0.0.1:2208 0.0.0.0:* LISTEN tcp 0 0 :::22 :::* LISTEN Here are ip addresses, still on the guest os: [root@oracle-linux ~]# ip addr 1: lo: <LOOPBACK,UP,LOWER_UP> mtu 16436 qdisc noqueue link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 inet 127.0.0.1/8 scope host lo inet6 ::1/128 scope host valid_lft forever preferred_lft forever 2: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast qlen 1000 link/ether 08:00:27:b9:e5:79 brd ff:ff:ff:ff:ff:ff inet 10.0.15.100/24 brd 10.0.15.255 scope global eth0 inet6 fe80::a00:27ff:feb9:e579/64 scope link valid_lft forever preferred_lft forever 3: eth1: <BROADCAST,MULTICAST,UP,LOWER_UP> mtu 1500 qdisc pfifo_fast qlen 1000 link/ether 08:00:27:b4:86:8a brd ff:ff:ff:ff:ff:ff inet 10.0.3.15/24 brd 10.0.3.255 scope global eth1 inet6 fe80::a00:27ff:feb4:868a/64 scope link valid_lft forever preferred_lft forever [root@oracle-linux ~]# I can ssh to the guest from the guest: root@oracle-linux ~]# ssh 10.0.3.15 The authenticity of host '10.0.3.15 (10.0.3.15)' can't be established. RSA key fingerprint is ef:08:19:72:95:4d:e5:28:af:f3:6f:54:07:84:ba:04. Are you sure you want to continue connecting (yes/no)? yes Warning: Permanently added '10.0.3.15' (RSA) to the list of known hosts. [email protected]'s password: Last login: Mon Oct 21 21:24:12 2013 from 10.0.15.100 But can NOT ssh from the host to the guest: 18:27:04/shared:11 $ssh [email protected] ssh: connect to host 10.0.15.100 port 22: Operation timed out lost connection Here is bridged connection infO; BTW I looked into other answers, and one of them mentioned doing service iptables stop That did not help. Adapter 2 is a NAT, shown below In case NAT is causing any issues, i shut it down and restarted networking. [root@oracle-linux ~]# /etc/init.d/network restart Shutting down interface eth0: [ OK ] Shutting down interface eth1: Still No joy.. 18:27:04/shared:11 $ssh [email protected] ssh: connect to host 10.0.15.100 port 22: Operation timed out lost connection

  Read the article

• Is it possible to connect machine to esxi Virtual Machine directly

  - by Mirage

  I have one server and i want to install VMs on that. Now i want to use one of VM as my main OS and i want that when i turn on second computer then that VM OS opens up. One way is to use remote desktop connection but for that i need to install OS on Second computer. Is there any way to directly link Second computer to VM on Server so that i don't have to install OS

  Read the article

• High volume SVM (machine learning) system

  - by flyingcrab

  I working on a possible machine learning project that would be expected to do high speed computations for machine learning using SVM (support vector machines) and possibly some ANN. I'm resonably comfortable working on matlab with these, but primarly in small datasets, just for experimentation. I'm wondering if this matlab based approach will scale? or should i be looking into something else? C++ / gpu based computing? java wrapping of the matlab code and pushing it onto app engine? Incidentally, there seems to be a lot fo literature on GPUs, but not much on how useful they are on machine learning applications using matlab, & the cheapest CUDA enlabled GPU money can buy? is it even worth the trouble?

  Read the article

• SharePoint State Machine Workflow walkthrough

  - by d-frag

  I haven't seen an actual SharePoint state machine workflow example on here, but figured this post, How to create a SharePoint State Machine Workflow, is as thorough as it gets. Its a 6-part series. It has a step-by-step approach so even a 9 year old could just follow along and do it. It shows exactly how to use InfoPath to create the initiation form and task form, how to create the state machine workflow (with both C# and VB code), and also how to add workflow history logging and task notification emails. It does not go into modification forms, but does everything else, pretty much. Hope someone finds this useful.

  Read the article

• Function calls in virtual machine killing performance

  - by GenTiradentes

  I wrote a virtual machine in C, which has a call table populated by pointers to functions that provide the functionality of the VM's opcodes. When the virtual machine is run, it first interprets a program, creating an array of indexes corresponding to the appropriate function in the call table for the opcode provided. It then loops through the array, calling each function until it reaches the end. Each instruction is extremely small, typically one line. Perfect for inlining. The problem is that the compiler doesn't know when any of the virtual machine's instructions are going to be called, as it's decided at runtime, so it can't inline them. The overhead of function calls and argument passing is killing the performance of my VM. Any ideas on how to get around this?

  Read the article

• Why would more CPU cores on virtual machine slow compile times?

  - by Sid

  [edit#2] If anyone from VMWare can hit me up with a copy of VMWare Fusion, I'd be more than happy to do the same as a VirtualBox vs VMWare comparison. Somehow I suspect the VMWare hypervisor will be better tuned for hyperthreading (see my answer too) I'm seeing something curious. As I increase the number of cores on my Windows 7 x64 virtual machine, the overall compile time increases instead of decreasing. Compiling is usually very well suited for parallel processing as in the middle part (post dependency mapping) you can simply call a compiler instance on each of your .c/.cpp/.cs/whatever file to build partial objects for the linker to take over. So I would have imagined that compiling would actually scale very well with # of cores. But what I'm seeing is: 8 cores: 1.89 sec 4 cores: 1.33 sec 2 cores: 1.24 sec 1 core: 1.15 sec Is this simply a design artifact due to a particular vendor's hypervisor implementation (type2:virtualbox in my case) or something more pervasive across more VMs to make hypervisor implementations more simpler? With so many factors, I seem to be able to make arguments both for and against this behavior - so if someone knows more about this than me, I'd be curious to read your answer. Thanks Sid [edit:addressing comments] @MartinBeckett: Cold compiles were discarded. @MonsterTruck: Couldn't find an opensource project to compile directly. Would be great but can't screwup my dev env right now. @Mr Lister, @philosodad: Have 8 hw threads, using VirtualBox, so should be 1:1 mapping without emulation @Thorbjorn: I have 6.5GB for the VM and a smallish VS2012 project - it's quite unlikely that I'm swapping in/out trashing the page file. @All: If someone can point to an open source VS2010/VS2012 project, that might be a better community reference than my (proprietary) VS2012 project. Orchard and DNN seem to need environment tweaking to compile in VS2012. I really would like to see if someone with VMWare Fusion also sees this (for VMWare vs VirtualBox compartmentalization) Test details: Hardware: Macbook Pro Retina CPU : Core i7 @ 2.3Ghz (quad core, hyper threaded = 8 cores in windows task manager) Memory : 16 GB Disk : 256GB SSD Host OS: Mac OS X 10.8 VM type: VirtualBox 4.1.18 (type 2 hypervisor) Guest OS: Windows 7 x64 SP1 Compiler: VS2012 compiling a solution with 3 C# Azure projects Compile times measure by VS2012 plugin called 'VSCommands' All tests run 5 times, first 2 runs discarded, last 3 averaged

  Read the article

• UITableViewCell selected subview ghosts

  - by Jonathan Cohen

  Hi all, I'm learning about the iPhone SDK and have an interesting exception with UITableViewCell subview management when a finger is pressed on some rows. The table is used to assign sounds to hand gestures -- swiping the phone in one of 3 directions triggers the sound to play. Selecting a row displays an action sheet with 4 options for sound assignment: left, down, right, and cancel. Sounds can be mapped to one, two, or three directions so any cell can have one of seven states: left, down, right, left and down, left and right, down and right, or left down and right. If a row is mapped to any of these seven states, a corresponding arrow or arrows are displayed within the bounds of the row as a subview. Arrows come and go as they should in a given screen and when scrolling around. However, after scrolling to a new batch of rows, only when I press my finger down on some (but not all) rows, does an arrow magically appear in the selected state background. When I lift my finger off the row, and the action sheet appears, the arrow disappears. After pressing any of the four buttons, I can't replicate this anymore. But it's really disorienting and confusing to see this arrow flash on screen because the selected row isn't assigned to anything. What haven't I thought to look into here? All my table code is pasted below and this is a screencast of the problem: http://www.screencast.com/users/JonathanGCohen/folders/Jing/media/d483fe31-05b5-4c24-ab4d-70de4ff3a0bf Am I managing my subviews wrong or is there a selected state property I'm missing? Something else? Should I have included any more information in this post to make things clearer? Thank you!! #pragma mark - #pragma mark Table - (NSInteger)numberOfSectionsInTableView:(UITableView *)tableView { return ([categories count] > 0) ? [categories count] : 1; } - (NSInteger)tableView:(UITableView *)tableView numberOfRowsInSection:(NSInteger)section { if ([categories count] == 0) return 0; NSMutableString *key = [categories objectAtIndex:section]; NSMutableArray *nameSection = [categoriesSounds objectForKey:key]; return [nameSection count]; } - (UITableViewCell *)tableView:(UITableView *)tableView cellForRowAtIndexPath:(NSIndexPath *)indexPath { NSUInteger section = [indexPath section]; NSUInteger row = [indexPath row]; NSString *key = [categories objectAtIndex:section]; NSArray *nameSection = [categoriesSounds objectForKey:key]; static NSString *SectionsTableIdentifier = @"SectionsTableIdentifier"; UITableViewCell *cell = [tableView dequeueReusableCellWithIdentifier: SectionsTableIdentifier]; NSArray *sound = [categoriesSounds objectForKey:key]; NSString *soundName = [[sound objectAtIndex: row] objectAtIndex: 0]; NSString *soundOfType = [[sound objectAtIndex: row] objectAtIndex: 1]; if (cell == nil) { cell = [[[UITableViewCell alloc] initWithStyle:UITableViewCellStyleDefault reuseIdentifier:SectionsTableIdentifier] autorelease]; } cell.textLabel.text = [[nameSection objectAtIndex:row] objectAtIndex: 0]; NSUInteger soundSection = [[[sound objectAtIndex: row] objectAtIndex: 2] integerValue]; NSUInteger soundRow = [[[sound objectAtIndex: row] objectAtIndex: 3] integerValue]; NSUInteger leftRow = [leftOldIndexPath row]; NSUInteger leftSection = [leftOldIndexPath section]; if (soundRow == leftRow && soundSection == leftSection && leftOldIndexPath !=nil){ [selectedSoundLeftAndDown removeFromSuperview]; [selectedSoundLeftAndRight removeFromSuperview]; [cell.contentView addSubview: selectedSoundLeft]; selectedSoundLeft.frame = CGRectMake(200,8,30,30); } else { [cell.contentView sendSubviewToBack: selectedSoundLeft]; } NSUInteger downRow = [downOldIndexPath row]; NSUInteger downSection = [downOldIndexPath section]; if (soundRow == downRow && soundSection == downSection && downOldIndexPath !=nil){ [selectedSoundLeftAndDown removeFromSuperview]; [selectedSoundDownAndRight removeFromSuperview]; [cell.contentView addSubview: selectedSoundDown]; selectedSoundDown.frame = CGRectMake(200,8,30,30); } else { [cell.contentView sendSubviewToBack: selectedSoundDown]; } NSUInteger rightRow = [rightOldIndexPath row]; NSUInteger rightSection = [rightOldIndexPath section]; if (soundRow == rightRow && soundSection == rightSection && rightOldIndexPath !=nil){ [selectedSoundDownAndRight removeFromSuperview]; [selectedSoundLeftAndRight removeFromSuperview]; [cell.contentView addSubview: selectedSoundRight]; selectedSoundRight.frame = CGRectMake(200,8,30,30); } else { [cell.contentView sendSubviewToBack: selectedSoundRight]; } // combos if (soundRow == leftRow && soundRow == downRow && soundSection == leftSection && soundSection == downSection){ [selectedSoundLeft removeFromSuperview]; [selectedSoundDown removeFromSuperview]; [selectedSoundLeftAndDownAndRight removeFromSuperview]; [cell.contentView addSubview: selectedSoundLeftAndDown]; selectedSoundLeftAndDown.frame = CGRectMake(200,8,30,30); } else { [cell.contentView sendSubviewToBack: selectedSoundLeftAndDown]; } if (soundRow == leftRow && soundRow == rightRow && soundSection == leftSection && soundSection == rightSection){ [selectedSoundLeft removeFromSuperview]; [selectedSoundRight removeFromSuperview]; [selectedSoundLeftAndDownAndRight removeFromSuperview]; [cell.contentView addSubview: selectedSoundLeftAndRight]; selectedSoundLeftAndRight.frame = CGRectMake(200,8,30,30); } else { [cell.contentView sendSubviewToBack: selectedSoundLeftAndRight]; } if (soundRow == downRow && soundRow == rightRow && soundSection == downSection && soundSection == rightSection){ [selectedSoundDown removeFromSuperview]; [selectedSoundRight removeFromSuperview]; [selectedSoundLeftAndDownAndRight removeFromSuperview]; [cell.contentView addSubview: selectedSoundDownAndRight]; selectedSoundDownAndRight.frame = CGRectMake(200,8,30,30); } else { [cell.contentView sendSubviewToBack: selectedSoundDownAndRight]; } if (soundRow == leftRow && soundRow == downRow && soundRow == rightRow && soundSection == leftSection && soundSection == downSection && soundSection == rightSection){ [selectedSoundLeftAndDown removeFromSuperview]; [selectedSoundLeftAndRight removeFromSuperview]; [selectedSoundDownAndRight removeFromSuperview]; [selectedSoundLeft removeFromSuperview]; [selectedSoundDown removeFromSuperview]; [selectedSoundRight removeFromSuperview]; [cell.contentView addSubview: selectedSoundLeftAndDownAndRight]; selectedSoundLeftAndDownAndRight.frame = CGRectMake(200,8,30,30); } else { [cell.contentView sendSubviewToBack: selectedSoundLeftAndDownAndRight]; } [indexPath retain]; return cell; } - (NSMutableString *)tableView:(UITableView *)tableView titleForHeaderInSection:(NSInteger)section { if ([categories count] == 0) return nil; NSMutableString *key = [categories objectAtIndex:section]; if (key == UITableViewIndexSearch) return nil; return key; } - (NSMutableArray *)sectionIndexTitlesForTableView:(UITableView *)tableView { if (isSearching) return nil; return categories; } - (NSIndexPath *)tableView:(UITableView *)tableView willSelectRowAtIndexPath:(NSIndexPath *)indexPath { [table reloadData]; [selectedSoundLeft removeFromSuperview]; [selectedSoundDown removeFromSuperview]; [selectedSoundRight removeFromSuperview]; [selectedSoundLeftAndDown removeFromSuperview]; [selectedSoundLeftAndRight removeFromSuperview]; [selectedSoundDownAndRight removeFromSuperview]; [selectedSoundLeftAndDownAndRight removeFromSuperview]; [search resignFirstResponder]; if (isSearching == YES && [search.text length] != 0 ){ searched = YES; } search.text = @""; isSearching = NO; [tableView reloadData]; [indexPath retain]; [indexPath retain]; return indexPath; } - (void)tableView:(UITableView *)tableView didSelectRowAtIndexPath:(NSIndexPath *)indexPath { [table reloadData]; selectedIndexPath = indexPath; [table reloadData]; NSInteger section = [indexPath section]; NSInteger row = [indexPath row]; NSString *key = [categories objectAtIndex:section]; NSArray *sound = [categoriesSounds objectForKey:key]; NSString *soundName = [[sound objectAtIndex: row] objectAtIndex: 0]; [indexPath retain]; [indexPath retain]; NSMutableString *title = [NSMutableString stringWithString: @"Assign Gesture for "]; NSMutableString *soundFeedback = [NSMutableString stringWithString: (@"%@", soundName)]; [title appendString: soundFeedback]; UIActionSheet *action = [[UIActionSheet alloc] initWithTitle:(@"%@", title) delegate:self cancelButtonTitle:@"Cancel" destructiveButtonTitle: nil otherButtonTitles:@"Left",@"Down",@"Right",nil]; action.actionSheetStyle = UIActionSheetStyleDefault; [action showInView:self.view]; [action release]; } - (void)actionSheet:(UIActionSheet *)actionSheet clickedButtonAtIndex:(NSInteger)buttonIndex{ NSInteger section = [selectedIndexPath section]; NSInteger row = [selectedIndexPath row]; NSString *key = [categories objectAtIndex:section]; NSArray *sound = [categoriesSounds objectForKey:key]; NSString *soundName = [[sound objectAtIndex: row] objectAtIndex: 0]; NSString *soundOfType = [[sound objectAtIndex: row] objectAtIndex: 1]; NSUInteger soundSection = [[[sound objectAtIndex: row] objectAtIndex: 2] integerValue]; NSUInteger soundRow = [[[sound objectAtIndex: row] objectAtIndex: 3] integerValue]; NSLog(@"sound row is %i", soundRow); NSLog(@"sound section is row is %i", soundSection); typedef enum { kLeftButton = 0, kDownButton, kRightButton, kCancelButton } gesture; switch (buttonIndex) { //Left case kLeftButton: showLeft.text = soundName; left = [[NSBundle mainBundle] pathForResource:(@"%@", soundName) ofType:(@"%@", soundOfType)]; AudioServicesCreateSystemSoundID((CFURLRef)[NSURL fileURLWithPath:left], &soundNegZ); AudioServicesPlaySystemSound (soundNegZ); [table deselectRowAtIndexPath:selectedIndexPath animated:YES]; leftIndexSection = [NSNumber numberWithInteger:section]; leftIndexRow = [NSNumber numberWithInteger:row]; NSInteger leftSection = [leftIndexSection integerValue]; NSInteger leftRow = [leftIndexRow integerValue]; NSString *leftKey = [categories objectAtIndex: leftSection]; NSArray *leftSound = [categoriesSounds objectForKey:leftKey]; NSInteger leftSoundSection = [[[leftSound objectAtIndex: leftRow] objectAtIndex: 2] integerValue]; NSInteger leftSoundRow = [[[leftSound objectAtIndex: leftRow] objectAtIndex: 3] integerValue]; leftOldIndexPath = [NSIndexPath indexPathForRow:leftSoundRow inSection:leftSoundSection]; break; //Down case kDownButton: showDown.text = soundName; down = [[NSBundle mainBundle] pathForResource:(@"%@", soundName) ofType:(@"%@", soundOfType)]; AudioServicesCreateSystemSoundID((CFURLRef)[NSURL fileURLWithPath:down], &soundNegX); AudioServicesPlaySystemSound (soundNegX); [table deselectRowAtIndexPath:selectedIndexPath animated:YES]; downIndexSection = [NSNumber numberWithInteger:section]; downIndexRow = [NSNumber numberWithInteger:row]; NSInteger downSection = [downIndexSection integerValue]; NSInteger downRow = [downIndexRow integerValue]; NSString *downKey = [categories objectAtIndex: downSection]; NSArray *downSound = [categoriesSounds objectForKey:downKey]; NSInteger downSoundSection = [[[downSound objectAtIndex: downRow] objectAtIndex: 2] integerValue]; NSInteger downSoundRow = [[[downSound objectAtIndex: downRow] objectAtIndex: 3] integerValue]; downOldIndexPath = [NSIndexPath indexPathForRow:downSoundRow inSection:downSoundSection]; break; //Right case kRightButton: showRight.text = soundName; right = [[NSBundle mainBundle] pathForResource:(@"%@", soundName) ofType:(@"%@", soundOfType)]; AudioServicesCreateSystemSoundID((CFURLRef)[NSURL fileURLWithPath:right], &soundPosX); AudioServicesPlaySystemSound (soundPosX); [table deselectRowAtIndexPath:selectedIndexPath animated:YES]; rightIndexSection = [NSNumber numberWithInteger:section]; rightIndexRow = [NSNumber numberWithInteger:row]; NSInteger rightSection = [rightIndexSection integerValue]; NSInteger rightRow = [rightIndexRow integerValue]; NSString *rightKey = [categories objectAtIndex: rightSection]; NSArray *rightSound = [categoriesSounds objectForKey:rightKey]; NSInteger rightSoundSection = [[[rightSound objectAtIndex: rightRow] objectAtIndex: 2] integerValue]; NSInteger rightSoundRow = [[[rightSound objectAtIndex: rightRow] objectAtIndex: 3] integerValue]; rightOldIndexPath = [NSIndexPath indexPathForRow:rightSoundRow inSection:rightSoundSection]; break; case kCancelButton: [table deselectRowAtIndexPath:selectedIndexPath animated:YES]; break; default: break; } UITableViewCell *viewCell = [table cellForRowAtIndexPath: selectedIndexPath]; NSArray *subviews = viewCell.subviews; for (UIView *cellView in subviews){ cellView.alpha = 1; } [table reloadData]; } - (NSInteger)tableView:(UITableView *)tableView sectionForSectionIndexTitle:(NSMutableString *)title atIndex:(NSInteger)index { NSMutableString *category = [categories objectAtIndex:index]; if (category == UITableViewIndexSearch) { [tableView setContentOffset:CGPointZero animated:NO]; return NSNotFound; } else return index; }

  Read the article

• Virtual Box - How to open a .VDI Virtual Machine

  - by [email protected]

  TUESDAY, APRIL 27, 2010 How to open a .VDI Virtual MachineSometimes someone share with us one Virtual machine with extension .VDI, after that we can wonder how and what with?Well the answer is... It is a VirtualBox - Virtual Machine. If you have not downloaded it you can do this easily just follow this post.http://listeningoracle.blogspot.com/2010/04/que-es-virtualbox.htmlorhttp://oracleoforacle.wordpress.com/2010/04/14/ques-es-virtualbox/Ok, Now with VirtualBox Installed open it and proceed with the following:1. Open the Virtual File Manager.2. Click on Actions ? Add and select the .VDI fileClick "Ok"3. Now we can register the new Virtual Machine - Click New, and Click Next4. Write down a Name for the virtual Machine a proceed to select a Operating System and Version. (In this case it is a Linux (Oracle Enterprise Linux or RedHat)Click Next5. Select the memory amount base for the Virtual Machine(Minimal 1280 for our case) - Click Next6. Select the Disk 11GR2_OEL5_32GB.vdi it was added in the virtual media manager in the step 2.Dont forget let selected Boot hard Disk (Primary Master) . Given it is the only disk assigned to the virtual machine.Click Next7. Click Finish8. This step is important. Once you have click on the settings Button. 9. On General option click the advanced settings. Here you must change the default directory to save your Snapshots; my recommendation set it to the same directory where the .Vdi file is. Otherwise you can have the same Virtual Machine and its snapshots in different paths.10. Now Click on System, and proceed to assign the correct memory (If you did not before)Note: Enable "Enable IO APIC" if you are planning to assign more than one CPU to the Virtual Machine.Define the processors for the Virtual machine. If you processor is dual core choose 211. Select the video memory amount you want to assign to the Virtual Machine12. Associated more storage disk to the Virtual machine, if you have more VDI files.(Not our case)The disk must be selected as IDE Primary Master.13. Well you can verify the other options, but with these changes you will be able to start the VM.Note: Sometime the VM owner may share some instructions, if so follow his instructions.14. Finally Start the Virtual Machine (Click > Start)

  Read the article

• Machine Code tutorial for Mac

  - by None

  I want to learn machine code. Not for a specific reason. Just for the heck of it. I was wondering if there were any good machine code tutorials. I have a macbook with a 2.4 GHz Intel Core 2 Duo processor.

  Read the article

• Implementing a State Machine in Angular.js to control routing

  - by ldn_tech_exec

  Can anyone help me with integrating a state machine to control routing? What's the best method to do this? Create a service? I need to basically intercept every $location request, run the state machine and let it figure out what the next $location.path should be. Think of the problem like a bank of questions that get added and removed over time. The user visits once in a while, passes in the user's answers object to the statemachine, and the statemachine figures out which question to load. This is my pseudocode, but i need to figure out where to put this or what event I can hook into to make sure all route requests are passed through the machine. Do I need a specific stateMachine controller? Do I create a service? Where do I use the service? Do I need to override $locationProvider? $scope.user.answers = [{ id: 32, answer: "whatever" }, { id:33, answer: "another answer" }] $scope.questions = [{ id:32, question:"what is your name?", path:"/question/1" },{ id:34, question:"how old are you?", path:"/question/2" }] var questions = $scope.questions; angular.forEach(questions, function(question) { if(question.id !exist in $scope.user.answers.id) { $location.path = question.path break; }); Thanks

  Read the article

• Sprinkle Some Magik on that Java Virtual Machine

  - by Jim Connors

  GE Energy, through its Smallworld subsidiary, has been providing geospatial software solutions to the utility and telco markets for over 20 years.  One of the fundamental building blocks of their technology is a dynamically-typed object oriented programming language called Magik.  Like Java, Magik source code is compiled down to bytecodes that run on a virtual machine -- in this case the Magik Virtual Machine. Throughout the years, GE has invested considerable engineering talent in the support and maintenance of this virtual machine.  At the same time vast energy and resources have been invested in the Java Virtual Machine. The question for GE has been whether to continue to make that investment on its own or to leverage massive effort provided by the Java community? Utilizing the Java Virtual Machine instead of maintaining its own virtual machine would give GE more opportunity to focus on application solutions.   At last count, there are dozens, perhaps hundreds of examples of programming languages that have been hosted atop the Java Virtual Machine.  Prior to the release of Java 7, that effort, although certainly possible, was generally less than optimal for languages like Magik because of its dynamic nature.  Java, as a statically typed language had little use for this capability.  In the quest to be a more universal virtual machine, Java 7, via JSR-292, introduced a new bytecode called invokedynamic.  In short, invokedynamic affords a more flexible method call mechanism needed by dynamic languages like Magik. With this new capability GE Energy has succeeded in hosting their Magik environment on top of the Java Virtual Machine.  So you may ask, why would GE wish to do such a thing?  The benefits are many: Competitors to GE Energy claimed that the Magik environment was proprietary.  By utilizing the Java Virtual Machine, that argument gets put to bed.  JVM development is done in open source, where contributions are made world-wide by all types of organizations and individuals. The unprecedented wealth of class libraries and applications written for the Java platform are now opened up to Magik/JVM platform as first class citizens. In addition, the Magik/JVM solution vastly increases the developer pool to include the 9 million Java developers -- the largest developer community on the planet. Applications running on the JVM showed substantial performance gains, in some cases as much as a 5x speed up over the original Magik platform. Legacy Magik applications can still run on the original platform.  They can be seamlessly migrated to run on the JVM by simply recompiling the source code. GE can now leverage the huge Java community.  Undeniably the best virtual machine ever created, hundreds if not thousands of world class developers continually improve, poke, prod and scrutinize all aspects of the Java platform.  As enhancements are made, GE automatically gains access to these. As Magik has little in the way of support for multi-threading, GE will benefit from current and future Java offerings (e.g. lambda expressions) that aim to further facilitate multi-core/multi-threaded application development. As the JVM is available for many more platforms, it broadens the reach of Magik, including the potential to run on a class devices never envisioned just a few short years ago.  For example, Java SE compatible runtime environments are available for popular embedded ARM/Intel/PowerPC configurations that could theoretically host this software too. As compared to other JVM language projects, the Magik integration differs in that it represents a serious commercial entity betting a sizable part of its business on the success of this effort.  Expect to see announcements not only from General Electric, but other organizations as they realize the benefits of utilizing the Java Virtual Machine.

  Read the article

• Is CUDA, cuBLAS or cuBLAS-XT the right place to start with for machine learning?

  - by Stefan R. Falk

  I am not sure if this is the right forum to post this question - but it surely is no question for stackoverflow. I work on my bachelor thesis and therefore I am implementing a so called Echo-State Network which basically is an artificial neural network that has a large reservoir of randomly initialized neurons and just a few input and output neurons .. but I think we can skip that. The thing is, there is a Python library called Theano which I am using for this implementation. It encapsulates the CUDA API and offers a quiet "comfortable" way to access the power of a NVIDIA graphics card. Since CUDA 6.0 there is a sub-library called cuBLAS (Basic Linear Algebra Subroutines) for LinAlg operations and also a cuBLAS-XT an extention which allows to run calculations on multiple graphics cards. My question at this point is if it would make sense to start using cuBLAS and/or cuBLAS-XT right now since the API is quite complex or rather wait for libraries that will build up on those library (such as Theano does on basic CUDA)? If you think this is the wrong place for this question please tell me which one is, thank you.

  Read the article

• A good machine learning technique to weed out good URLs from bad

  - by git-noob

  Hi, I have an application that needs to discriminate between good HTTP GET requests and bad. For example: http://somesite.com?passes=dodgy+parameter # BAD http://anothersite.com?passes=a+good+parameter # GOOD My system can make a binary decision about whether or not a URL is good or bad - but ideally I would like it to predict whether or not a previously unseen URL is good or bad. http://some-new-site.com?passes=a+really+dodgy+parameter # BAD I feel the need for a support vector machine (SVM) ... but I need to learn machine learning. Some questions: 1) Is an SVM appropriate for this task? 2) Can I train it with the raw URLs? - without explicitly specifying 'features' 3) How many URLs will I need for it to be good at predictions? 4) What kind of SVM kernel should I use? 5) After I train it, how do I keep it up to date? 6) How do I test unseen URLs again the SVM to decide whether it's good or bad? I

  Read the article

• Virtual Machine Manager Error - Error determing default hypervisor

  - by dallasclark

  I have Fedora 11 and trying to get Xen working (which I think it is already) but the Virtual Machine Manager cannot find the hypervisor. When starting Virtual Machine Manager, I receive the following error Error determining default hypervisor. Could not populate a default connection. Make sure the appropriate virtualization packages are installed (kvm, qemu, etc.) and that libvirtd has been restarted to notice the change. A hypervisor connection can be manually added via File - Add Connection I've restarted libvirtd a few times and tried connecting manually but can't work it out. Some useful information: # lsof | grep xen libvirtd 2962 root mem REG 253,0 19776 13379 /usr/lib/libxenstore.so.3.0.0 # service libvirtd status libvirtd (pid 2962) is running...

  Read the article

• Machine Learning Algorithm for Peer-to-Peer Nodes

  - by FreshCode

  I want to apply machine learning to a classification problem in a parallel environment. Several independent nodes, each with multiple on/off sensors, can communicate their sensor data with the goal of classifying an event as defined by a heuristic, training data or both. Each peer will be measuring the same data from their unique perspective and will attempt to classify the result while taking into account that any neighbouring node (or its sensors or just the connection to the node) could be faulty. Nodes should function as equal peers and determine the most likely classification by communicating their results. Ultimately each node should make a decision based on their own sensor data and their peers' data. If it matters, false positives are OK for certain classifications (albeit undesirable) but false negatives would be totally unacceptable. Given that each final classification will receive good or bad feedback, what would be an appropriate machine learning algorithm to approach this problem with if the nodes could communicate with each other to determine the most likely classification?

  Read the article

• Machine Learning Algorithm for Parallel Nodes

  - by FreshCode

  I want to apply machine learning to a classification problem in a parallel environment. Several independent nodes, each with multiple on/off sensors, can communicate their sensor data with the goal of classifying an event defined by a heuristic, training data or both. Each peer will be measuring the same data from their unique perspective and will attempt to classify the result while taking into account that any neighbouring node (or its sensors or just the connection to the node) could be faulty. Nodes should function as equal peers and determine the most likely classification by communicating their results. Ultimately each node should make a decision based on their own sensor data and their peers' data. If it matters, false positives are OK (albeit undesirable) but false negatives are totally unacceptable. Given that each final classification will receive good or bad feedback, what would be an appropriate machine learning algorithm to approach this problem with if the nodes could communicate with each other to determine the most likely classification?

  Read the article

• Virtual Machine Performance - More RAM or More Processor?

  - by webworm

  When looking to improve Virtual Machine performance what would be better ... Increasing the available RAM or increasing the processor power? Here is my choice ... Core 2 Duo @ 2.4 GHz with 8 GB RAM and integrated graphics (Mac Book Pro 13") Core i7 @ 2.6 GHz with 4 GB RAM and 512 MB dedicated graphics (Mac Book Pro 15") I plan to run Windows x64 in the VM with SQL Server 2008, Visual Studio 2010, and SharePoint 2010. I am planning to run VMWare Fusion v3. I also didn't know if a dedicated graphics card makes a difference when using a Virtual Machine. Thank you.

  Read the article

• Can GPU capabilities impact virtual machine performance?

  - by Dave White

  While this many not seem like a programming question directly, it impacts my development activities and so it seems like it belongs here. It seems that more and more developers are turning to virtual environments for development activities on their computers, SharePoint development being a prime example. Also, as a trainer, I have virtual training environments for all of the classes that I teach. I recently purchased a new Dell E6510 to travel around with. It has the i7 620M (Dual core, HyperThreaded cpu running at 2.66GHz) and 8 GB of memory. Reading the spec sheet, it sounded like it would be a great laptop to carry around and run virtual machines on. Getting the laptop though, I've been pretty disappointed with the user experience of developing in a virtual machine. Giving the Virtual Machine 4 GB of memory, it was slow and I could type complete sentences and watch the VM "catchup". My company has training laptops that we provide for our classes. They are Dell Precision M6400 Intel Core 2 Duo P8700 running at 2.54Ghz with 8 GB of memory and the experience on this laptops is night and day compared to the E6510. They are crisp and you barely aware that you are running in a virtual environment. Since the E6510 should be faster in all categories than the M6400, I couldn't understand why the new laptop was slower, so I did a component by component comparison and the only place where the E6510 is less performant than the M6400 is the graphics department. The M6400 is running a nVidia FX 2700m GPU and the E6510 is running a nVidia 3100M GPU. Looking at benchmarks of the two GPUs suggest that the FX 2700M is twice as fast as the 3100M. http://www.notebookcheck.net/Mobile-Graphics-Cards-Benchmark-List.844.0.html 3100M = 111th (E6510) FX 2700m = 47th (Precision M6400) Radeon HD 5870 = 8th (Alienware) The host OS is Windows 7 64bit as is the guest OS, running in Virtual Box 3.1.8 with Guest Additions installed on the guest. The IDE being used in the virtual environment is VS 2010 Premium. So after that long setup, my question is: Is the GPU significantly impacting the virtual machine's performance or are there other factors that I'm not looking at that I can use to boost the vm's performance? Do we now have to consider GPU performance when purchasing laptops where we expect to use virtualized development environments? Thanks in advance. Cheers, Dave

  Read the article

• Best language for a time machine [closed]

  - by omfgroflmao

  I need to make a time machine, what language do you think would be the best in terms of (maintainability/efficiency/cost?

  Read the article

• I want a machine to learn to categorize short texts

  - by Jasie

  Hello, I have a ton of short stories about 500 words long and I want to categorize them into one of, let's say, 20 categories: Entertainment Food Music etc I can hand-classify a bunch of them, but I want to implement machine learning to guess the categories eventually. What's the best way to approach this? Is there a standard approach to machine learning I should be using? I don't think a decision tree would work well since it's text data...I'm completely new in this field. Any help would be appreciated, thanks!

  Read the article

• Distributing my Application inside a Debian Virtual Machine Image-- How to meet GPL obligations?

  - by bdk

  I have a Linux application I've developed, and I have created a standalone VMWare Image that people can download to try out the application without needing to install and configure a Linux Server. I created this VMWare Image by starting with a base Debian system, installing a bunch of packages and then configuring all the packages and daemons my application depends on. Upon load, the VMWare Image boots right into an X Server running only my application and no Window manager, so its more of a "Virtual Appliance" than a normal Linux Desktop environment. Users generally will never see a command prompt or any application other than my own. (My application itself I have a handle on the licensing issues of) Now I would like to distribute this image, but I'm not sure how to meet my GPL (and other licenses the various Debian components are released under) Obligations. As I understand it, I have two primary obligations to meet. Providing Copyright and License Information for each component I use. As I understand it, all the information I am required to present is located in the /usr/share directory in the Debian, but since my users generally will never touch a console or terminal, they will never see this. Does providing a text file containing a concatenation of all the files inside /usr/share meet this obligation Making source code available for all components I distribute. Since I am not creating the image from source, but from binary packages, I can't provide the actual source code that results in exactly my image being generated. Does providing an ftp mirror and an offer to send that mirror on DVDs of the Debian source debs for all the packages I use meet this obligation? Anything Else I'm required to do to legally distribute this image?

  Read the article

• Less Mathematical Approaches to Machine Learning?

  - by Ed

  Out of curiosity, I've been reading up a bit on the field of Machine Learning, and I'm surprised at the amount of computation and mathematics involved. One book I'm reading through uses advanced concepts such as Ring Theory and PDEs (note: the only thing I know about PDEs is that they use that funny looking character). This strikes me as odd considering that mathematics itself is a hard thing to "learn." Are there any branches of Machine Learning that use different approaches? I would think that a approaches relying more on logic, memory, construction of unfounded assumptions, and over-generalizations would be a better way to go, since that seems more like the way animals think. Animals don't (explicitly) calculate probabilities and statistics; at least as far as I know.

  Read the article

• How is machine code understood by the machine

  - by Kraken

  I have a very naive question here, and I would like you to correct me on whatever wrong concepts I put out here. The question is as follows: I have ubuntu installed on my machine, now I write a helloWorld.c program in C language. Now, on the operating system I have a compiler installed, when I execute my helloWorld.c program, the OS schedules the compiler and that basically compiles my code into machine code, which eventually, I execute. Now my kernel code is written in C, then how does my machine interprets that code? Say my kernel code is helloWorld.c, now would not I require any compiler, to compile this code. Also, if I hardcode a compiler in maybe ROM or something, then what language is it written in? Assembly language? Let me know if I have made myself clear with the problem. Thanks. EDIT: By kernel code I mean, the code for operating system. Operating System code. I guess it is written in C right?

  Read the article

• Juju stuck in "pending" state when using LXC

  - by Andre

  So I'm trying to get started with Juju, and tried to do this locally using LXC. I followed the instructions here: How do I configure juju for local usage? Unfortunately this doesn't seem to work for me. status shows the following: $ juju status machines: 0: agent-state: running dns-name: localhost instance-id: local instance-state: running services: mysql: charm: cs:precise/mysql-1 relations: db: - wordpress units: mysql/0: agent-state: pending machine: 0 public-address: null wordpress: charm: cs:precise/wordpress-0 exposed: true relations: db: - mysql units: wordpress/0: agent-state: pending machine: 0 open-ports: [] public-address: null 2012-05-10 14:09:38,155 INFO 'status' command finished successfully As you can see the agent-state is 'pending' and there is no public address where I'm able to access the newly created site. Am I missing something here? UPDATE: Tried destroying the environment an doing everything again (multiple times). This is the output for debug-log: ~$ juju debug-log 2012-05-11 08:50:23,790 INFO Enabling distributed debug log. 2012-05-11 08:50:23,806 INFO Tailing logs - Ctrl-C to stop. 2012-05-11 08:50:42,338 Machine:0: juju.agents.machine DEBUG: Units changed old:set([]) new:set(['mysql/0']) 2012-05-11 08:50:42,339 Machine:0: juju.agents.machine DEBUG: Starting service unit: mysql/0 ... 2012-05-11 08:50:42,459 Machine:0: unit.deploy DEBUG: Downloading charm cs:precise/mysql-1 to /home/andre/.juju/data/andre-local/charms 2012-05-11 08:50:42,620 Machine:0: unit.deploy DEBUG: Using <juju.machine.unit.UnitContainerDeployment object at 0x9c54b6c> for mysql/0 in /home/andre/.juju/data/andre-local 2012-05-11 08:50:42,648 Machine:0: unit.deploy DEBUG: Starting service unit mysql/0... 2012-05-11 08:50:42,649 Machine:0: unit.deploy DEBUG: Creating master container... 2012-05-11 08:54:33,992 Machine:0: unit.deploy DEBUG: Created master container andre-local-0-template 2012-05-11 08:54:33,993 Machine:0: unit.deploy INFO: Creating container mysql-0... 2012-05-11 08:56:18,760 Machine:0: unit.deploy INFO: Container created for mysql/0 2012-05-11 08:56:19,466 Machine:0: unit.deploy DEBUG: Charm extracted into container 2012-05-11 08:56:19,569 Machine:0: unit.deploy DEBUG: Starting container... 2012-05-11 08:56:22,707 Machine:0: unit.deploy INFO: Started container for mysql/0 2012-05-11 08:56:22,707 Machine:0: unit.deploy INFO: Started service unit mysql/0 2012-05-11 08:56:23,012 Machine:0: juju.agents.machine DEBUG: Units changed old:set(['mysql/0']) new:set(['wordpress/0', 'mysql/0']) 2012-05-11 08:56:23,039 Machine:0: juju.agents.machine DEBUG: Starting service unit: wordpress/0 ... 2012-05-11 08:56:23,154 Machine:0: unit.deploy DEBUG: Downloading charm cs:precise/wordpress-0 to /home/andre/.juju/data/andre-local/charms 2012-05-11 08:56:23,396 Machine:0: unit.deploy DEBUG: Using <juju.machine.unit.UnitContainerDeployment object at 0x9c519cc> for wordpress/0 in /home/andre/.juju/data/andre-local 2012-05-11 08:56:23,620 Machine:0: unit.deploy DEBUG: Starting service unit wordpress/0... 2012-05-11 08:56:23,621 Machine:0: unit.deploy INFO: Creating container wordpress-0... 2012-05-11 08:58:24,739 Machine:0: unit.deploy INFO: Container created for wordpress/0 2012-05-11 08:58:25,163 Machine:0: unit.deploy DEBUG: Charm extracted into container 2012-05-11 08:58:25,397 Machine:0: unit.deploy DEBUG: Starting container... 2012-05-11 08:58:27,982 Machine:0: unit.deploy INFO: Started container for wordpress/0 2012-05-11 08:58:27,983 Machine:0: unit.deploy INFO: Started service unit wordpress/0 This is the result for the status command (with verbose flag): ~$ juju -v status 2012-05-11 08:51:53,464 DEBUG Initializing juju status runtime 2012-05-11 08:51:53,625:4030(0xb7345b00):ZOO_INFO@log_env@658: Client environment:zookeeper.version=zookeeper C client 3.3.5 2012-05-11 08:51:53,625:4030(0xb7345b00):ZOO_INFO@log_env@662: Client environment:host.name=andre-ufo 2012-05-11 08:51:53,625:4030(0xb7345b00):ZOO_INFO@log_env@669: Client environment:os.name=Linux 2012-05-11 08:51:53,625:4030(0xb7345b00):ZOO_INFO@log_env@670: Client environment:os.arch=3.2.0-24-generic-pae 2012-05-11 08:51:53,625:4030(0xb7345b00):ZOO_INFO@log_env@671: Client environment:os.version=#37-Ubuntu SMP Wed Apr 25 10:47:59 UTC 2012 2012-05-11 08:51:53,626:4030(0xb7345b00):ZOO_INFO@log_env@679: Client environment:user.name=andre 2012-05-11 08:51:53,626:4030(0xb7345b00):ZOO_INFO@log_env@687: Client environment:user.home=/home/andre 2012-05-11 08:51:53,626:4030(0xb7345b00):ZOO_INFO@log_env@699: Client environment:user.dir=/home/andre 2012-05-11 08:51:53,626:4030(0xb7345b00):ZOO_INFO@zookeeper_init@727: Initiating client connection, host=192.168.122.1:41779 sessionTimeout=10000 watcher=0xb7780620 sessionId=0 sessionPasswd=<null> context=0x9242ee8 flags=0 2012-05-11 08:51:53,627:4030(0xb6b90b40):ZOO_INFO@check_events@1585: initiated connection to server [192.168.122.1:41779] 2012-05-11 08:51:53,649:4030(0xb6b90b40):ZOO_INFO@check_events@1632: session establishment complete on server [192.168.122.1:41779], sessionId=0x1373ae057d90007, negotiated timeout=10000 2012-05-11 08:51:53,651 DEBUG Environment is initialized. machines: 0: agent-state: running dns-name: localhost instance-id: local instance-state: running services: mysql: charm: cs:precise/mysql-1 relations: db: - wordpress units: mysql/0: agent-state: pending machine: 0 public-address: null wordpress: charm: cs:precise/wordpress-0 relations: db: - mysql units: wordpress/0: agent-state: pending machine: 0 public-address: null

  Read the article

• ASP.NET 32-bit machine compiled now trying to run on 64-bit machine

  - by user54064

  I have an ASP.NET app that was compiled on a 32-bit machine. There are many different assemblies that are referenced. I opened the web site's main dll with ILDASM and looked at the .corflags. It stated it was ILONLY. However, when I run the web site locally on the 64-bit machine (Windows XP Pro 64-bit), I get "is not a valid Win32 applciation". Shouldn't the app run as 64-bit since it was compiled with "AnyCPU"? How can I get this to work? I am using .NET 3.5.

  Read the article

< Previous Page | 2 3 4 5 6 7 8 9 10 11 12 13  | Next Page >