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  • Unable to detect Capture Device (webcam) through JMF

    - by Padmaja
    Hello, I am using JMF to operate my web cam.My usb webcam works perfectly with JMF, I used it in JMStudio however,when I make this call from my java code deviceListVector = CaptureDeviceManager.getDeviceList( null ); my USB "webcam" is detected however when i am trying to detect webcam on my laptop it is not detecting any device. How can I properly detect the webcam of laptop, and its formats, from JMF API? Please help me. Thanks in advance.

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  • ERROR_SEM_TIMEOUT when using WinUSB WritePipe

    - by Ted N
    I often get ERROR_SEM_TIMEOUT errors using the WinUSB WritePipe function. This would seem to indicate that there is a timeout, but if I wait a period of time and try again I'm never able to write. I'm writing in 64 byte chucks to the USB device and often don't have problems. Once I start getting the error, I may have to unplug the usb and and close my app before trying again. Has anybody experienced this problem?

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  • how to get my program to enter windows username password?

    - by blood
    i have been working on a program that will enter usernames and passwords if someone plugs in a Usb, but i don't know how to enter a windows log in password. So the idea is to have my program running so it can find if the usb is plugged in if so it will use keybd_event to enter the password and to hit enter. how would i get my program to run so i can do this?

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  • How to get my program to log the user into Windows?

    - by blood
    i have been working on a program that will enter usernames and passwords if someone plugs in a Usb, but i don't know how to enter a windows log in password. So the idea is to have my program running so it can find if the usb is plugged in if so it will use keybd_event to enter the password and to hit enter. how would i get my program to run so i can do this?

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  • wmi - Drive letter

    - by new
    \NJ96\root\cimv2:Win32_PnPEntity.DeviceID="USB\VID_1A8D&PID_1000\35809402 0874450" i can able to get the vendor id and product id of the usb device plugged into my device using WMI . how can i map DRIVE LETTER to my above output using the WMI please help me out

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  • Introduction to midi programming

    - by bobobobo
    So I have a little (musical) keyboard that has USB midi interface. I know you can program to this (many programs accept input from the midi device via USB interface) but where do you begin to program a midi device? Ideally I'm looking for a platform-independent api, through Python or something.

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  • C# Neural Networks with Encog

    - by JoshReuben
    Neural Networks ·       I recently read a book Introduction to Neural Networks for C# , by Jeff Heaton. http://www.amazon.com/Introduction-Neural-Networks-C-2nd/dp/1604390093/ref=sr_1_2?ie=UTF8&s=books&qid=1296821004&sr=8-2-spell. Not the 1st ANN book I've perused, but a nice revision.   ·       Artificial Neural Networks (ANNs) are a mechanism of machine learning – see http://en.wikipedia.org/wiki/Artificial_neural_network , http://en.wikipedia.org/wiki/Category:Machine_learning ·       Problems Not Suited to a Neural Network Solution- Programs that are easily written out as flowcharts consisting of well-defined steps, program logic that is unlikely to change, problems in which you must know exactly how the solution was derived. ·       Problems Suited to a Neural Network – pattern recognition, classification, series prediction, and data mining. Pattern recognition - network attempts to determine if the input data matches a pattern that it has been trained to recognize. Classification - take input samples and classify them into fuzzy groups. ·       As far as machine learning approaches go, I thing SVMs are superior (see http://en.wikipedia.org/wiki/Support_vector_machine ) - a neural network has certain disadvantages in comparison: an ANN can be overtrained, different training sets can produce non-deterministic weights and it is not possible to discern the underlying decision function of an ANN from its weight matrix – they are black box. ·       In this post, I'm not going to go into internals (believe me I know them). An autoassociative network (e.g. a Hopfield network) will echo back a pattern if it is recognized. ·       Under the hood, there is very little maths. In a nutshell - Some simple matrix operations occur during training: the input array is processed (normalized into bipolar values of 1, -1) - transposed from input column vector into a row vector, these are subject to matrix multiplication and then subtraction of the identity matrix to get a contribution matrix. The dot product is taken against the weight matrix to yield a boolean match result. For backpropogation training, a derivative function is required. In learning, hill climbing mechanisms such as Genetic Algorithms and Simulated Annealing are used to escape local minima. For unsupervised training, such as found in Self Organizing Maps used for OCR, Hebbs rule is applied. ·       The purpose of this post is not to mire you in technical and conceptual details, but to show you how to leverage neural networks via an abstraction API - Encog   Encog ·       Encog is a neural network API ·       Links to Encog: http://www.encog.org , http://www.heatonresearch.com/encog, http://www.heatonresearch.com/forum ·       Encog requires .Net 3.5 or higher – there is also a Silverlight version. Third-Party Libraries – log4net and nunit. ·       Encog supports feedforward, recurrent, self-organizing maps, radial basis function and Hopfield neural networks. ·       Encog neural networks, and related data, can be stored in .EG XML files. ·       Encog Workbench allows you to edit, train and visualize neural networks. The Encog Workbench can generate code. Synapses and layers ·       the primary building blocks - Almost every neural network will have, at a minimum, an input and output layer. In some cases, the same layer will function as both input and output layer. ·       To adapt a problem to a neural network, you must determine how to feed the problem into the input layer of a neural network, and receive the solution through the output layer of a neural network. ·       The Input Layer - For each input neuron, one double value is stored. An array is passed as input to a layer. Encog uses the interface INeuralData to hold these arrays. The class BasicNeuralData implements the INeuralData interface. Once the neural network processes the input, an INeuralData based class will be returned from the neural network's output layer. ·       convert a double array into an INeuralData object : INeuralData data = new BasicNeuralData(= new double[10]); ·       the Output Layer- The neural network outputs an array of doubles, wraped in a class based on the INeuralData interface. ·        The real power of a neural network comes from its pattern recognition capabilities. The neural network should be able to produce the desired output even if the input has been slightly distorted. ·       Hidden Layers– optional. between the input and output layers. very much a “black box”. If the structure of the hidden layer is too simple it may not learn the problem. If the structure is too complex, it will learn the problem but will be very slow to train and execute. Some neural networks have no hidden layers. The input layer may be directly connected to the output layer. Further, some neural networks have only a single layer. A single layer neural network has the single layer self-connected. ·       connections, called synapses, contain individual weight matrixes. These values are changed as the neural network learns. Constructing a Neural Network ·       the XOR operator is a frequent “first example” -the “Hello World” application for neural networks. ·       The XOR Operator- only returns true when both inputs differ. 0 XOR 0 = 0 1 XOR 0 = 1 0 XOR 1 = 1 1 XOR 1 = 0 ·       Structuring a Neural Network for XOR  - two inputs to the XOR operator and one output. ·       input: 0.0,0.0 1.0,0.0 0.0,1.0 1.0,1.0 ·       Expected output: 0.0 1.0 1.0 0.0 ·       A Perceptron - a simple feedforward neural network to learn the XOR operator. ·       Because the XOR operator has two inputs and one output, the neural network will follow suit. Additionally, the neural network will have a single hidden layer, with two neurons to help process the data. The choice for 2 neurons in the hidden layer is arbitrary, and often comes down to trial and error. ·       Neuron Diagram for the XOR Network ·       ·       The Encog workbench displays neural networks on a layer-by-layer basis. ·       Encog Layer Diagram for the XOR Network:   ·       Create a BasicNetwork - Three layers are added to this network. the FinalizeStructure method must be called to inform the network that no more layers are to be added. The call to Reset randomizes the weights in the connections between these layers. var network = new BasicNetwork(); network.AddLayer(new BasicLayer(2)); network.AddLayer(new BasicLayer(2)); network.AddLayer(new BasicLayer(1)); network.Structure.FinalizeStructure(); network.Reset(); ·       Neural networks frequently start with a random weight matrix. This provides a starting point for the training methods. These random values will be tested and refined into an acceptable solution. However, sometimes the initial random values are too far off. Sometimes it may be necessary to reset the weights again, if training is ineffective. These weights make up the long-term memory of the neural network. Additionally, some layers have threshold values that also contribute to the long-term memory of the neural network. Some neural networks also contain context layers, which give the neural network a short-term memory as well. The neural network learns by modifying these weight and threshold values. ·       Now that the neural network has been created, it must be trained. Training a Neural Network ·       construct a INeuralDataSet object - contains the input array and the expected output array (of corresponding range). Even though there is only one output value, we must still use a two-dimensional array to represent the output. public static double[][] XOR_INPUT ={ new double[2] { 0.0, 0.0 }, new double[2] { 1.0, 0.0 }, new double[2] { 0.0, 1.0 }, new double[2] { 1.0, 1.0 } };   public static double[][] XOR_IDEAL = { new double[1] { 0.0 }, new double[1] { 1.0 }, new double[1] { 1.0 }, new double[1] { 0.0 } };   INeuralDataSet trainingSet = new BasicNeuralDataSet(XOR_INPUT, XOR_IDEAL); ·       Training is the process where the neural network's weights are adjusted to better produce the expected output. Training will continue for many iterations, until the error rate of the network is below an acceptable level. Encog supports many different types of training. Resilient Propagation (RPROP) - general-purpose training algorithm. All training classes implement the ITrain interface. The RPROP algorithm is implemented by the ResilientPropagation class. Training the neural network involves calling the Iteration method on the ITrain class until the error is below a specific value. The code loops through as many iterations, or epochs, as it takes to get the error rate for the neural network to be below 1%. Once the neural network has been trained, it is ready for use. ITrain train = new ResilientPropagation(network, trainingSet);   for (int epoch=0; epoch < 10000; epoch++) { train.Iteration(); Debug.Print("Epoch #" + epoch + " Error:" + train.Error); if (train.Error > 0.01) break; } Executing a Neural Network ·       Call the Compute method on the BasicNetwork class. Console.WriteLine("Neural Network Results:"); foreach (INeuralDataPair pair in trainingSet) { INeuralData output = network.Compute(pair.Input); Console.WriteLine(pair.Input[0] + "," + pair.Input[1] + ", actual=" + output[0] + ",ideal=" + pair.Ideal[0]); } ·       The Compute method accepts an INeuralData class and also returns a INeuralData object. Neural Network Results: 0.0,0.0, actual=0.002782538818034049,ideal=0.0 1.0,0.0, actual=0.9903741937121177,ideal=1.0 0.0,1.0, actual=0.9836807956566187,ideal=1.0 1.0,1.0, actual=0.0011646072586172778,ideal=0.0 ·       the network has not been trained to give the exact results. This is normal. Because the network was trained to 1% error, each of the results will also be within generally 1% of the expected value.

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  • Installer Reboots at "Detecting hardware" (disks and other hardware) on all recent Server Installs

    - by Ryan Rosario
    I have a very frustrating problem with my PC. I cannot install any recent version of Ubuntu Server (or even Desktop) since 9.04 even using the text-based installer. I boot from a USB stick created by Unetbootin (I also tried other methods such as startup disk creator with no difference). On the Server installer, it gets to "Detecting Hardware" (the second one about disks and all other hardware, not network hardware) and then either hangs at 0% (waited 24 hours), or reboots after a minute or two. My system (late 2007): ASUS P5NSLI motherboard Intel Core 2 Duo E6600 2.4Ghz 2 x 1GB Corsair 667MHz RAM nVidia GeForce 6600 I have unplugged everything (including the only hard disk, CD-ROMs and floppy). I have only one stick of RAM (tried each one to no avail) and am booting the installer from a USB stick (booting from CD-ROM yields the same problem). I also tried several of the boot options (nomodeset, nousb, acpi=off, noapic, i915.modeset=1/0, xforcevesa) in all combinations) to no avail. The only active parts of my system are the video card, mouse, keyboard and USB stick. I have also updated the BIOS to the most recent version. (FWIW, on the Desktop installer, I get a black screen after hitting the Install option.) Even after removing "quiet" I am unable to see what kernel panic is occurring (or not occurring) to cause the install to crash. I am only able to save the debug logs via a simple webserver in the installer. After the last line (I repeatedly refreshed), the server stops responding and the installer hangs or reboots: Jan 2 01:04:03 main-menu[302]: INFO: Menu item 'disk-detect' selected Jan 2 01:04:04 kernel: [ 309.154372] sata_nv 0000:00:0e.0: version 3.5 Jan 2 01:04:04 kernel: [ 309.154409] sata_nv 0000:00:0e.0: Using SWNCQ mode Jan 2 01:04:04 kernel: [ 309.154531] sata_nv 0000:00:0e.0: setting latency timer to 64 Jan 2 01:04:04 kernel: [ 309.164442] scsi0 : sata_nv Jan 2 01:04:04 kernel: [ 309.167610] scsi1 : sata_nv Jan 2 01:04:04 kernel: [ 309.167762] ata1: SATA max UDMA/133 cmd 0x9f0 ctl 0xbf0 bmdma 0xd400 irq 10 Jan 2 01:04:04 kernel: [ 309.167774] ata2: SATA max UDMA/133 cmd 0x970 ctl 0xb70 bmdma 0xd408 irq 10 Jan 2 01:04:04 kernel: [ 309.167948] sata_nv 0000:00:0f.0: Using SWNCQ mode Jan 2 01:04:04 kernel: [ 309.168071] sata_nv 0000:00:0f.0: setting latency timer to 64 Jan 2 01:04:04 kernel: [ 309.171931] scsi2 : sata_nv Jan 2 01:04:04 kernel: [ 309.173793] scsi3 : sata_nv Jan 2 01:04:04 kernel: [ 309.173943] ata3: SATA max UDMA/133 cmd 0x9e0 ctl 0xbe0 bmdma 0xe800 irq 11 Jan 2 01:04:04 kernel: [ 309.173954] ata4: SATA max UDMA/133 cmd 0x960 ctl 0xb60 bmdma 0xe808 irq 11 Jan 2 01:04:04 kernel: [ 309.174061] pata_amd 0000:00:0d.0: version 0.4.1 Jan 2 01:04:04 kernel: [ 309.174160] pata_amd 0000:00:0d.0: setting latency timer to 64 Jan 2 01:04:04 kernel: [ 309.177045] scsi4 : pata_amd Jan 2 01:04:04 kernel: [ 309.178628] scsi5 : pata_amd Jan 2 01:04:04 kernel: [ 309.178801] ata5: PATA max UDMA/133 cmd 0x1f0 ctl 0x3f6 bmdma 0xf000 irq 14 Jan 2 01:04:04 kernel: [ 309.178811] ata6: PATA max UDMA/133 cmd 0x170 ctl 0x376 bmdma 0xf008 irq 15 Jan 2 01:04:04 net/hw-detect.hotplug: Detected hotpluggable network interface eth0 Jan 2 01:04:04 net/hw-detect.hotplug: Detected hotpluggable network interface lo Jan 2 01:04:04 kernel: [ 309.485062] ata3: SATA link down (SStatus 0 SControl 300) Jan 2 01:04:04 kernel: [ 309.633094] ata1: SATA link up 3.0 Gbps (SStatus 123 SControl 300) Jan 2 01:04:04 kernel: [ 309.641647] ata1.00: ATA-8: ST31000528AS, CC38, max UDMA/133 Jan 2 01:04:04 kernel: [ 309.641658] ata1.00: 1953525168 sectors, multi 1: LBA48 NCQ (depth 31/32) Jan 2 01:04:04 kernel: [ 309.657614] ata1.00: configured for UDMA/133 Jan 2 01:04:04 kernel: [ 309.657969] scsi 0:0:0:0: Direct-Access ATA ST31000528AS CC38 PQ: 0 ANSI: 5 Jan 2 01:04:04 kernel: [ 309.658482] sd 0:0:0:0: Attached scsi generic sg0 type 0 Jan 2 01:04:04 kernel: [ 309.658588] sd 0:0:0:0: [sda] 1953525168 512-byte logical blocks: (1.00 TB/931 GiB) Jan 2 01:04:04 kernel: [ 309.658812] sd 0:0:0:0: [sda] Write Protect is off Jan 2 01:04:04 kernel: [ 309.658823] sd 0:0:0:0: [sda] Mode Sense: 00 3a 00 00 Jan 2 01:04:04 kernel: [ 309.658918] sd 0:0:0:0: [sda] Write cache: enabled, read cache: enabled, doesn't support DPO or FUA Jan 2 01:04:04 kernel: [ 309.675630] sda: sda1 sda2 Jan 2 01:04:04 kernel: [ 309.676440] sd 0:0:0:0: [sda] Attached SCSI disk Jan 2 01:04:05 kernel: [ 309.969102] ata2: SATA link down (SStatus 0 SControl 300) Jan 2 01:04:05 kernel: [ 310.281137] ata4: SATA link down (SStatus 0 SControl 300) Anybody have any additional ideas I could try? I am getting ready to just toss the motherboard.

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  • Slow wifi on Ubuntu 12.04 wifi driver ath9k

    - by lunar
    For the last couple of days my wifi connection is extremely slow. I am pretty sure that it is caused by the driver. Can this be improved? lo no wireless extensions. wlan0 IEEE 802.11bgn ESSID:"MyWiFi" Mode:Managed Frequency:2.437 GHz Access Point: 00:18:68:FE:7B:C7 Bit Rate=58.5 Mb/s Tx-Power=15 dBm Retry long limit:7 RTS thr:off Fragment thr:off Power Management:off Link Quality=48/70 Signal level=-62 dBm Rx invalid nwid:0 Rx invalid crypt:0 Rx invalid frag:0 Tx excessive retries:0 Invalid misc:6960 Missed beacon:0 eth0 no wireless extensions. sudo lshw -class network *-network description: Wireless interface product: AR9285 Wireless Network Adapter (PCI-Express) vendor: Atheros Communications Inc. physical id: 0 bus info: pci@0000:03:00.0 logical name: wlan0 version: 01 serial: 74:f0:6d:34:c2:4e width: 64 bits clock: 33MHz capabilities: pm msi pciexpress bus_master cap_list ethernet physical wireless configuration: broadcast=yes driver=ath9k driverversion=3.2.0-31-generic-pae firmware=N/A ip=192.168.1.2 latency=0 link=yes multicast=yes wireless=IEEE 802.11bgn resources: irq:17 memory:d7400000-d740ffff *-network description: Ethernet interface product: AR8131 Gigabit Ethernet vendor: Atheros Communications Inc. physical id: 0 bus info: pci@0000:06:00.0 logical name: eth0 version: c0 serial: 48:4b:38:78:f6:ae capacity: 1Gbit/s width: 64 bits clock: 33MHz capabilities: pm msi pciexpress vpd bus_master cap_list ethernet physical tp 10bt 10bt-fd 100bt 100bt-fd 1000bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=atl1c driverversion=1.0.1.0-NAPI firmware=N/A latency=0 link=no multicast=yes port=twisted pair resources: irq:51 memory:d3800000-d383ffff ioport:8000(size=128) lsusb Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 002 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 003 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 004 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub Bus 001 Device 002: ID 8087:0020 Intel Corp. Integrated Rate Matching Hub Bus 002 Device 002: ID 8087:0020 Intel Corp. Integrated Rate Matching Hub Bus 001 Device 003: ID 04f2:b1bb Chicony Electronics Co., Ltd Bus 001 Device 004: ID 0b05:1788 ASUSTek Computer, Inc. lspci 00:00.0 Host bridge: Intel Corporation Core Processor DRAM Controller (rev 18) 00:01.0 PCI bridge: Intel Corporation Core Processor PCI Express x16 Root Port (rev 18) 00:02.0 VGA compatible controller: Intel Corporation Core Processor Integrated Graphics Controller (rev 18) 00:16.0 Communication controller: Intel Corporation 5 Series/3400 Series Chipset HECI Controller (rev 06) 00:1a.0 USB controller: Intel Corporation 5 Series/3400 Series Chipset USB2 Enhanced Host Controller (rev 06) 00:1b.0 Audio device: Intel Corporation 5 Series/3400 Series Chipset High Definition Audio (rev 06) 00:1c.0 PCI bridge: Intel Corporation 5 Series/3400 Series Chipset PCI Express Root Port 1 (rev 06) 00:1c.1 PCI bridge: Intel Corporation 5 Series/3400 Series Chipset PCI Express Root Port 2 (rev 06) 00:1c.3 PCI bridge: Intel Corporation 5 Series/3400 Series Chipset PCI Express Root Port 4 (rev 06) 00:1c.4 PCI bridge: Intel Corporation 5 Series/3400 Series Chipset PCI Express Root Port 5 (rev 06) 00:1c.5 PCI bridge: Intel Corporation 5 Series/3400 Series Chipset PCI Express Root Port 6 (rev 06) 00:1d.0 USB controller: Intel Corporation 5 Series/3400 Series Chipset USB2 Enhanced Host Controller (rev 06) 00:1e.0 PCI bridge: Intel Corporation 82801 Mobile PCI Bridge (rev a6) 00:1f.0 ISA bridge: Intel Corporation Mobile 5 Series Chipset LPC Interface Controller (rev 06) 00:1f.2 SATA controller: Intel Corporation 5 Series/3400 Series Chipset 4 port SATA AHCI Controller (rev 06) 00:1f.6 Signal processing controller: Intel Corporation 5 Series/3400 Series Chipset Thermal Subsystem (rev 06) 01:00.0 VGA compatible controller: NVIDIA Corporation GF108 [GeForce GT 425M] (rev a1) 03:00.0 Network controller: Atheros Communications Inc. AR9285 Wireless Network Adapter (PCI-Express) (rev 01) 04:00.0 USB controller: Fresco Logic Device 1400 (rev 01) 06:00.0 Ethernet controller: Atheros Communications Inc. AR8131 Gigabit Ethernet (rev c0) ff:00.0 Host bridge: Intel Corporation Core Processor QuickPath Architecture Generic Non-core Registers (rev 05) ff:00.1 Host bridge: Intel Corporation Core Processor QuickPath Architecture System Address Decoder (rev 05) ff:02.0 Host bridge: Intel Corporation Core Processor QPI Link 0 (rev 05) ff:02.1 Host bridge: Intel Corporation Core Processor QPI Physical 0 (rev 05) ff:02.2 Host bridge: Intel Corporation Core Processor Reserved (rev 05) ff:02.3 Host bridge: Intel Corporation Core Processor Reserved (rev 05) rfkill list all 0: hci0: Bluetooth Soft blocked: yes Hard blocked: no 1: phy0: Wireless LAN Soft blocked: no Hard blocked: no

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  • Mind Reading with the Raspberry Pi

    - by speakjava
    Mind Reading With The Raspberry Pi At JavaOne in San Francisco I did a session entitled "Do You Like Coffee with Your Dessert? Java and the Raspberry Pi".  As part of this I showed some demonstrations of things I'd done using Java on the Raspberry Pi.  This is the first part of a series of blog entries that will cover all the different aspects of these demonstrations. A while ago I had bought a MindWave headset from Neurosky.  I was particularly interested to see how this worked as I had had the opportunity to visit Neurosky several years ago when they were still developing this technology.  At that time the 'headset' consisted of a headband (very much in the Bjorn Borg style) with a sensor attached and some wiring that clearly wasn't quite production ready.  The commercial version is very simple and easy to use: there are two sensors, one which rests on the skin of your forehead, the other is a small clip that attaches to your earlobe. Typical EEG sensors used in hospitals require lots of sensors and they all need copious amounts of conductive gel to ensure the electrical signals are picked up.  Part of Neurosky's innovation is the development of this simple dry-sensor technology.  Having put on the sensor and turned it on (it powers off a single AAA size battery) it collects data and transmits it to a USB dongle plugged into a PC, or in my case a Raspberry Pi. From a hacking perspective the USB dongle is ideal because it does not require any special drivers for any complex, low level USB communication.  Instead it appears as a simple serial device, which on the Raspberry Pi is accessed as /dev/ttyUSB0.  Neurosky have published details of the command protocol.  In addition, the MindSet protocol document, including sample code for parsing the data from the headset, can be found here. To get everything working on the Raspberry Pi using Java the first thing was to get serial communications going.  Back in the dim distant past there was the Java Comm API.  Sadly this has grown a bit dusty over the years, but there is a more modern open source project that provides compatible and enhanced functionality, RXTXComm.  This can be installed easily on the Pi using sudo apt-get install librxtx-java.  Next I wrote a library that would send commands to the MindWave headset via the serial port dongle and read back data being sent from the headset.  The design is pretty simple, I used an event based system so that code using the library could register listeners for different types of events from the headset.  You can download a complete NetBeans project for this here.  This includes javadoc API documentation that should make it obvious how to use it (incidentally, this will work on platforms other than Linux.  I've tested it on Windows without any issues, just by changing the device name to something like COM4). To test this I wrote a simple application that would connect to the headset and then print the attention and meditation values as they were received from the headset.  Again, you can download the NetBeans project for that here. Oracle recently released a developer preview of JavaFX on ARM which will run on the Raspberry Pi.  I thought it would be cool to write a graphical front end for the MindWave data that could take advantage of the built in charts of JavaFX.  Yet another NetBeans project is available here.  Screen shots of the app, which uses a very nice dial from the JFxtras project, are shown below. I probably should add labels for the EEG data so the user knows which is the low alpha, mid gamma waves and so on.  Given that I'm not a neurologist I suspect that it won't increase my understanding of what the (rather random looking) traces mean. In the next blog I'll explain how I connected a LEGO motor to the GPIO pins on the Raspberry Pi and then used my mind to control the motor!

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  • Does O2Micro Oz776 Smartcard reader support SLE5528 cards?

    - by Proton
    Well, the title seems indicating I'm a lazy guy but it's not the truth... I'm messing with this weird circumstance a whole day. My laptop is a Dell Latitude D630 which has a Oz776 (usb idVendor == 0x0b97, idProduct == 0x7772) smartcard reader, but I'm not sure if it is functioning well. It can successfully recognize my Gemplus GPK4000 smartcard and my SIM card, but not SLE5528. This is my pcscd log when insert the GPK4000: 06039271 ifdhandler.c:1043:IFDHPowerICC() action: PowerUp, usb:0b97/7772:libhal:/org/freedesktop/Hal/devices/usb_device_b97_7772_noserial_if0 (lun: 0) 00000100 - 000000 62 00 00 00 00 00 14 01 00 00 00967744 <- 000000 80 0A 00 00 00 00 14 00 00 00 3B 27 00 80 65 A2 0C 01 01 37 00000048 ATR: 3B 27 00 80 65 A2 0C 01 01 37 00000013 atrhandler.c:102:ATRDecodeAtr() Conv: 01, Y1: 02, K: 07 00000011 atrhandler.c:120:ATRDecodeAtr() TA1: FFFFFFFF, TB1: 00, TC1: FFFFFFFF, TD1:FFFFFFFF 00000011 atrhandler.c:248:ATRDecodeAtr() CurrentProtocol: 1, AvailableProtocols: 1 00000062 eventhandler.c:429:EHStatusHandlerThread() Card inserted into O2 Micro Oz776 00 00 00000014 Card ATR: 3B 27 00 80 65 A2 0C 01 01 37 29016873 eventhandler.c:361:EHStatusHandlerThread() Card Removed From O2 Micro Oz776 00 00 This is the log when insert a SLE5528 card: 99999999 ifdhandler.c:1043:IFDHPowerICC() action: PowerUp, usb:0b97/7772:libhal:/org/freedesktop/Hal/devices/usb_device_b97_7772_noserial_if0 (lun: 0) 00000048 - 000000 62 00 00 00 00 00 11 01 00 00 ** Then it chokes here, when I remove the card, the log continues ** 04741980 <- 000000 80 00 00 00 00 00 11 42 FE 00 00000044 commands.c:225:CmdPowerOn Card absent or mute 00000017 ifdhandler.c:1096:IFDHPowerICC() PowerUp failed 00000082 eventhandler.c:429:EHStatusHandlerThread() Card inserted into O2 Micro Oz776 00 00 00000021 eventhandler.c:443:EHStatusHandlerThread() Error powering up card. 00402818 eventhandler.c:361:EHStatusHandlerThread() Card Removed From O2 Micro Oz776 00 00 I found that SLE5528 is ISO7816 compatible, and it should have ATR, but it just chokes at the PowerUp. When inserted any PVC card with no chip or AT24C01 card, it would not choke but report immediate PowerUp failure. When I tried it on Windows(Windows 7, "runas other user", smartcard login), it chokes too while PVC cards and AT24C01 report immediate failure.

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  • Using child visitor in C#

    - by Thomas Matthews
    I am setting up a testing component and trying to keep it generic. I want to use a generic Visitor class, but not sure about using descendant classes. Example: public interface Interface_Test_Case { void execute(); void accept(Interface_Test_Visitor v); } public interface Interface_Test_Visitor { void visit(Interface_Test_Case tc); } public interface Interface_Read_Test_Case : Interface_Test_Case { uint read_value(); } public class USB_Read_Test : Interface_Read_Test_Case { void execute() { Console.WriteLine("Executing USB Read Test Case."); } void accept(Interface_Test_Visitor v) { Console.WriteLine("Accepting visitor."); } uint read_value() { Console.WriteLine("Reading value from USB"); return 0; } } public class USB_Read_Visitor : Interface_Test_Visitor { void visit(Interface_Test_Case tc) { Console.WriteLine("Not supported Test Case."); } void visit(Interface_Read_Test_Case rtc) { Console.WriteLine("Not supported Read Test Case."); } void visit(USB_Read_Test urt) { Console.WriteLine("Yay, visiting USB Read Test case."); } } // Code fragment USB_Read_Test test_case; USB_Read_Visitor visitor; test_case.accept(visitor); What are the rules the C# compiler uses to determine which of the methods in USB_Read_Visitor will be executed by the code fragment? I'm trying to factor out dependencies of my testing component. Unfortunately, my current Visitor class contains visit methods for classes not related to the testing component. Am I trying to achieve the impossible?

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  • SQL SERVER – Why Do We Need Data Quality Services – Importance and Significance of Data Quality Services (DQS)

    - by pinaldave
    Databases are awesome.  I’m sure my readers know my opinion about this – I have made SQL Server my life’s work after all!  I love technology and all things computer-related.  Of course, even with my love for technology, I have to admit that it has its limits.  For example, it takes a human brain to notice that data has been input incorrectly.  Computer “brains” might be faster than humans, but human brains are still better at pattern recognition.  For example, a human brain will notice that “300” is a ridiculous age for a human to be, but to a computer it is just a number.  A human will also notice similarities between “P. Dave” and “Pinal Dave,” but this would stump most computers. In a database, these sorts of anomalies are incredibly important.  Databases are often used by multiple people who rely on this data to be true and accurate, so data quality is key.  That is why the improved SQL Server features Master Data Management talks about Data Quality Services.  This service has the ability to recognize and flag anomalies like out of range numbers and similarities between data.  This allows a human brain with its pattern recognition abilities to double-check and ensure that P. Dave is the same as Pinal Dave. A nice feature of Data Quality Services is that once you set the rules for the program to follow, it will not only keep your data organized in the future, but go to the past and “fix up” any data that has already been entered.  It also allows you do combine data from multiple places and it will apply these rules across the board, so that you don’t have any weird issues that crop up when trying to fit a round peg into a square hole. There are two parts of Data Quality Services that help you accomplish all these neat things.  The first part is DQL Server, which you can think of as the hardware component of the system.  It is installed on the side of (it needs to install separately after SQL Server is installed) SQL Server and runs quietly in the background, performing all its cleanup services. DQS Client is the user interface that you can interact with to set the rules and check over your data.  There are three main aspects of Client: knowledge base management, data quality projects and administration.  Knowledge base management is the part of the system that allows you to set the rules, or program the “knowledge base,” so that your database is clean and consistent. Data Quality projects are what run in the background and clean up the data that is already present.  The administration allows you to check out what DQS Client is doing, change rules, and generally oversee the entire process.  The whole process is user-friendly and a pleasure to use.  I highly recommend implementing Data Quality Services in your database. Here are few of my blog posts which are related to Data Quality Services and I encourage you to try this out. SQL SERVER – Installing Data Quality Services (DQS) on SQL Server 2012 SQL SERVER – Step by Step Guide to Beginning Data Quality Services in SQL Server 2012 – Introduction to DQS SQL SERVER – DQS Error – Cannot connect to server – A .NET Framework error occurred during execution of user-defined routine or aggregate “SetDataQualitySessions” – SetDataQualitySessionPhaseTwo SQL SERVER – Configuring Interactive Cleansing Suggestion Min Score for Suggestions in Data Quality Services (DQS) – Sensitivity of Suggestion SQL SERVER – Unable to DELETE Project in Data Quality Projects (DQS) Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: Data Quality Services, DQS

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  • Using EigenObjectRecognizer

    - by Meko
    Hi. I am trying make Facial recognition using Emgu Cv. And using EigenObjectRecognizer could I do it? Also is some one can explain that usage of it? because if there is a no same foto it also returns value. Here is example from Internet Image<Gray, Byte>[] trainingImages = new Image<Gray,Byte>[5]; trainingImages[0] = new Image<Gray, byte>("brad.jpg"); trainingImages[1] = new Image<Gray, byte>("david.jpg"); trainingImages[2] = new Image<Gray, byte>("foof.jpg"); trainingImages[3] = new Image<Gray, byte>("irfan.jpg"); trainingImages[4] = new Image<Gray, byte>("joel.jpg"); String[] labels = new String[] { "Brad", "David", "Foof", "Irfan" , "Joel"} MCvTermCriteria termCrit = new MCvTermCriteria(16, 0.001); EigenObjectRecognizer recognizer = new EigenObjectRecognizer( trainingImages, labels, 5000, ref termCrit); Image<Gray,Byte> testImage = new Image<Gray,Byte>("brad_test.jpg"); String label = recognizer.Recognize(testImage); Console.Write(label); It returns brad .But if I change photo in testimage it also retunrs some name or even Brad.Is it good for face recognition to use this method?Or is there any better method?

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  • Ubuntu keyboard detection from bash script

    - by Ryan Brubaker
    Excuse my ignorance of linux OS/hardware issues...I'm just a programmer :) I have an application that calls out to some bash scripts to launch external applications, in this case Firefox. The application runs on a kiosk with touch screen capability. When launching Firefox, I also launch a virtual keyboard application that allows the user to have keyboard input. However, the kiosk also has both PS/2 and USB slots that would allow a user to plug-in a keyboard. If a keyboard were plugged in, it would be nice if I didn't have to launch the virtual keyboard and provide more screen space for the Firefox window. Is there a way for me to detect if a keyboard is plugged in from the bash script? Would it show up in /dev, and if so, would it show up at a consistent location? Would it make a difference if the user used a PS/2 or USB keyboard? Thanks!

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  • howto copy files on esxi datastore using scp?

    - by maruti
    how to copy files on esxi4 datastore (fs=vmfs) over network using console (SSH)? giving up older question:have seen on vmware forums that its not possible have a USB drive NTFS attached to ESXi4 host. fdisk -l shows the device as /dev/mpx.... but when i try to mount that using mount /dev/xxx /mnt/usbdisk....it fails with message "no such file or dir" could anyone help with correct entry in etc/fstab? all that i am trying to do is backup the vms on esxi host to usb disk...thanks in advance there is a dir called usbdrv, tried cp of vmdk file here but failed

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  • How to connect two monitors to a macbook pro?

    - by CIRK
    I have a 13" macbook pro, and I need much more space right now, so I decided to buy two smaller monitors. (these from LG). But I don't really know how will I connect them. I've seen some products like this Diamond BVU195, but it's not currently in stores in my country. I've found these Equip 128450 USB 2.0 Display Adapter DELOCK USB 2.0 to DVI/VGA/HDMI Adapter The second one looks pretty cool, but it says that Windows is a system requirement or what, so I'm not sure if it will work with mac os x? So how did you connected multiple monitors to you mac, and are these adapters the best choices, if yes then is there an OS independent one?

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  • SD to PCI adapter

    - by vy32
    We are looking for a way to plug a SD card into a PCI slot without going through a USB interface. We want to read the SD card's serial number directly and issue SD commands. The Chumby and the Google Android G1 phones both have SD slots that you can read from Linux without going through USB, but the Chumby only has a single SD card that's used for booting, and the G1 doesn't have any other reasonable storage if you use the SD card for that purpose. I'd really like a desktop with a few SD slots that are directly accessible. Anybody know of anything??

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  • Resetting "HDD Warning???" with Zalman ZM-VE400 external case

    - by 0xC0000022L
    Whenever I turn on (or plug in) the Zalman ZM-VE400 I have, it shows HDD Warning???. Sometimes briefly, sometimes until the Menu button is pressed. The case contains a SSD drive and as far as I understand the warning relates to the S.M.A.R.T. status of which this drive doesn't support all parts. How can I reset the warning so I don't receive it every time when turning on the drive? Firmware reports: V400_01_040_N Here's what I have tried so far: Unplug and plug back in Open the case and remove the SSD, then put it back in Press the button on the back side (cover removed) while plugged in Press the button on the back side (cover removed) while not plugged in USB Connect = Refresh = Enter USB Connect = Safe Removal = Enter Advanced = Umount VHDD = Enter

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  • CPU Usage at 100% with "Hardware Interrupts"

    - by eventualEntropy
    After turning on my desktop one day, I found that my CPU usage was maxed out at 100%, with 99% of that going to hardware "Interrupts". I tried to enable/disable all my devices one by one through the device manager, and found that I could get the CPU usage used by the Interrupts down to 50% by disabling all devices labelled "USB Host Controller" (except the ones for the mouse/keyboard). I found that I also got 10-20% more from disabling "High Definition Audio Controller". Following the tutorial at: http://www.msfn.org/board/topic/140263-how-to-get-the-cause-of-high-cpu-usage-by-dpc-interrupt/ Led me to similar conclusions (that is, that the culprit is mostly "USB Host Controller"): I've tried updating my asus motherboard driver and my video card driver. This is on Windows 7 64 bit. I've spent hours trying to figure this out and I'm running out of ideas short of formatting (which might still not fix it!).

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  • Rosetta Stone Network V3 doesn't recognize built-in microphone in OSX Lion

    - by zarose
    I am using Rosetta Stone Network V3 on an early 2011 MacBook Pro running OSX Lion 10.7.3. When I log in, select a language and level, and then a lesson, I am prompted to select a microphone. The built in microphone doesn't show up, yet I've used it multiple times for other applications. I heard from another user that it doesn't work if headphones with a built-in microphone are used. I have not yet tried a USB microphone. Is there some free work around to this? I would prefer to not have to buy a USB microphone, but if that is the only solution, then I'll live. Edit: I noticed that Rosetta Stone tells me that if I don't have a microphone I should disable speech to move on, but that option is grayed out for me.

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  • How to emulate wireless in Virtualbox?

    - by huahsin68
    I have WinXP install in virtualbox which host in Linux. I have a TP-Link (TP-WN321G) USB wifi adapter and have the driver installed inside WinXP. When I plug-in the wifi adapter, there is an option show "Ralink 802.11g WLAN [0101]" in the virtualbox's USB icon, tick on that option, the Device Manager able to detect the hardware which shows TP-Link, but when look into the properties, it says there is no driver was install. I did try to install Ralink driver but still no luck. Just curious why my wifi adapter is TP-Link, but the option show Ralink? May I know how can I emulate the wireless network inside WindowsXP?

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  • What is the data transfer speeds within the disk, to other devices?

    - by Kumar
    I use Debian 6 on a HP Elitbook 6930 with 2Gigs of RAM. I was copying two AVI files, 1.5 GB in total, and noticed that the data copying was done at the rate of 4MB/sec. When I copy same AVIs to my Western Digital Passport 25G USB plugin drive the data transfer speed is 11+MB/sec. This speed is different if I plugin the drive to different USB ports. Interestingly, at work I also downloaded a 16MB IE8 exe on my virtual xp, run inside Oracle Sun Virtual Box, and it was downloaded AND saved within a second. We have a high speed network at work. :-) Why and how this difference in data speeds is possible?

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