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  • Separated virtual networks with same subnet range with 2 interface

    - by Coolpet
    I'm having some problems with routing with the following: I have a server with 2 interfaces. It has 1-1 alias contains the same subnet. the 2 interface is connected to 2 switch, which are separated from each other. Infrastructure: Eth0 192.168.16.2/20 Eth0:eth0 192.168.1.222/20 Eth1 192.168.32.3/20 Eth1:eth1 192.168.1.223/20 I have a PC which has the IP address: 192.168.1.3/24 The problem is the next: If PC is on subnet 1, I can ping it. If PC is on subnet 2, I can't ping it. traceroute shows the route is across 192.168.1.222 ping -I 192.168.1.223 192.168.1.3 is not working on subnet 2. arp entries show the MAC address belonging to the correct interface (eth1 on subnet 2) How can I force the server to look on both interface same ranged subnet for specific IP? It searches only in the first subnet. The routing table has these 2 entries: 192.168.0.0/20 dev eth0 proto kernel scope link src 192.168.1.222 192.168.0.0/20 dev eth1 proto kernel scope link src 192.168.1.223

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  • How to bridge two networks via VPN (IPsec)?

    - by polemon
    I'd like to do a Site-to-Site bridging with VPN (IPsec), how do I do that? On the local side, I have a DrayTec Vigor2910, it is supposed to be able to manage IPsec tunnels. Anyway, I need to have several VPN tunnels to various sites, but how exactly do I do that, If the only router I can configure, is the local one? As I understand it, I'd need some sort of VPN server or client, or whatever on the other side. In any event, please clarify that issue. Thanks.

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  • Separate 2 networks with 1 Windows Server

    - by SamuGG
    The situation is: I have 1 router 192.168.1.1, 1 switch, 1 windows server and a basic LAN of devices accessing it. I need to split into 2 separate LANs with full Internet access each, but isolated from each other. Given that, the server is a Windows Server 2008 R2 with 2 NICs: NIC1: 192.168.1.2 NIC2: 192.168.2.2 The router has no dhcp configuration. Please, can anyone explain gracefully, step by step, what do I need to do? What would be the 2 NICs full configuration? What services do I need to install? I don't want devices on either network to see devices on the other network, they must be completely separate. I guess I'm missing the routing procedure step, but I have no idea how is that done. For example: tell the server that devices with gateway 192.168.2.2 must send traffic for internet to 192.168.1.1 router. Thanks in advance.

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  • Routing between same networks

    - by osmandfj
    I have two different sites: NetA has a subnet 192.168.2.0/24 NetB has 192.168.1.0/24. The two sites connect each other via IPsec VPN with fortigate devices. I need to move a server with IP address 192.168.2.240 from NetA to NetB and I cannot change its IP address due to some specific reasons. My question is; if I move that server from NetA to NetB, is it possible to reach that server from NetA?

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  • Bridging two networks

    - by Jukodan
    I'm hoping you may be able to offer some advice as I'm not very familiar with setting up routers/access points. I have a network of computers on an active directory domain on the 192.NET. I then have another network on the 10.NET that needs to have access to the domain on the 192.NET. I am using cisco/linksys routers. What methodology would you suggest so that these two can communicate and I can add the computers form the 10.NET to the domain? Edit: Basically, I'm having trouble figuring out how to setup a static route

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  • Reinforcement learning in C#

    - by Betamoo
    I intend to use Reinforcement learning in my project but I do not know much how to implement it.. So I am looking for a library with different RL algorithms that I can use in my C# project.. Thanks Please Note: I found NeuronDotNet library for neural networks, I am now looking for RL library..

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  • What is the 'order' of a perceptron

    - by Martin
    A few simple marks for those who know the answer. I'm doing revision for exams at the moment and one of the past questions is: What is meant by the order of a perceptron? I can't find any information about this in my lecture notes, and even google seems at a loss. My guess is that the order is the number of layers in a neural network, but this doesn't seem quite right.

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  • How could I fix WICD? it's not longer finding networks

    - by poz2k4444
    I'm on backtrack5 R2, and I was working fine, the problem is recently the WICD is no longer finding networks, but I can still connect to the networks I had, I've tried with dpkg-reconfigure wicd and after restart not noticeable change is done, how can I connect new networks or reconfigure again the manager?? When I search networks with airomon-ng mon0 I can find some but with the WICD not, thanks!!

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  • Algorithm for performing decentralized search in social networks

    - by Jack
    I want to find out all the existing decentralized algorithms that exploit the structural properties of social networks. So far I know the following algorithms - 1) Best connected search - Adamic et al 2) Random Walk (does not exploit any structural property but still it is decentralized) 3) Hamming distance search 4) Weak/Strong tie search Any help would be appreciated

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  • List of social networks which allow developers to find out friend of friends info

    - by Jack
    I have been working on social application development for some time now. I now need to build an application which makes use of friend of friends data. Any info like friend count, interest, location etc. would be helpful. Here's the list I have till now 1) Networks where you can find info about your friend of friends Twitter,Digg 2) Complement Facebook, MySpace, Orkut I am more interested in the latter category. Any help will be appreciated.

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  • Semantic search in P2P networks

    - by Sneha
    hi, we are doing a project that involves semantic search in P2P networks. Basically we want to do a file searching/sharing mechanism that semantically relates files based on the data. we are using RDF to represent the files' metadata. We are stuck with the database part. every peer has a local repository that it uses to store metadata. how do we implement this store? please help..

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  • PHP API for access social networks

    - by War Coder
    hello guys, am looking for a php api that can access social networks like facebook,myspace,orkut and so many more of them. I should be able to upload pictures and videos to my favourite social networking account and also post get updates from thems, change status, make comments and similar stuffs. Just wondering if there is anything like that or similar to it. Thanks.

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  • R Package for Bayesian Belief Networks

    - by user187395
    Is anyone aware of an R package for Bayesian Belief Networks (BBN) that can handle latent (hidden) nodes? I am referring to process learning the structure and the parameters of the model. Based on the documentation, the "bnlearn" package does not provide for such capability. In addition, is anyone aware of R packages that allow for making inferences and sensitivity analysis for BBN? Thank you in advance.

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  • Java: micro-optimizing array manipulation

    - by Martin Wiboe
    Hello all, I am trying to make a Java port of a simple feed-forward neural network. This obviously involves lots of numeric calculations, so I am trying to optimize my central loop as much as possible. The results should be correct within the limits of the float data type. My current code looks as follows (error handling & initialization removed): /** * Simple implementation of a feedforward neural network. The network supports * including a bias neuron with a constant output of 1.0 and weighted synapses * to hidden and output layers. * * @author Martin Wiboe */ public class FeedForwardNetwork { private final int outputNeurons; // No of neurons in output layer private final int inputNeurons; // No of neurons in input layer private int largestLayerNeurons; // No of neurons in largest layer private final int numberLayers; // No of layers private final int[] neuronCounts; // Neuron count in each layer, 0 is input // layer. private final float[][][] fWeights; // Weights between neurons. // fWeight[fromLayer][fromNeuron][toNeuron] // is the weight from fromNeuron in // fromLayer to toNeuron in layer // fromLayer+1. private float[][] neuronOutput; // Temporary storage of output from previous layer public float[] compute(float[] input) { // Copy input values to input layer output for (int i = 0; i < inputNeurons; i++) { neuronOutput[0][i] = input[i]; } // Loop through layers for (int layer = 1; layer < numberLayers; layer++) { // Loop over neurons in the layer and determine weighted input sum for (int neuron = 0; neuron < neuronCounts[layer]; neuron++) { // Bias neuron is the last neuron in the previous layer int biasNeuron = neuronCounts[layer - 1]; // Get weighted input from bias neuron - output is always 1.0 float activation = 1.0F * fWeights[layer - 1][biasNeuron][neuron]; // Get weighted inputs from rest of neurons in previous layer for (int inputNeuron = 0; inputNeuron < biasNeuron; inputNeuron++) { activation += neuronOutput[layer-1][inputNeuron] * fWeights[layer - 1][inputNeuron][neuron]; } // Store neuron output for next round of computation neuronOutput[layer][neuron] = sigmoid(activation); } } // Return output from network = output from last layer float[] result = new float[outputNeurons]; for (int i = 0; i < outputNeurons; i++) result[i] = neuronOutput[numberLayers - 1][i]; return result; } private final static float sigmoid(final float input) { return (float) (1.0F / (1.0F + Math.exp(-1.0F * input))); } } I am running the JVM with the -server option, and as of now my code is between 25% and 50% slower than similar C code. What can I do to improve this situation? Thank you, Martin Wiboe

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  • How can I make this Java code run faster?

    - by Martin Wiboe
    Hello all, I am trying to make a Java port of a simple feed-forward neural network. This obviously involves lots of numeric calculations, so I am trying to optimize my central loop as much as possible. The results should be correct within the limits of the float data type. My current code looks as follows (error handling & initialization removed): /** * Simple implementation of a feedforward neural network. The network supports * including a bias neuron with a constant output of 1.0 and weighted synapses * to hidden and output layers. * * @author Martin Wiboe */ public class FeedForwardNetwork { private final int outputNeurons; // No of neurons in output layer private final int inputNeurons; // No of neurons in input layer private int largestLayerNeurons; // No of neurons in largest layer private final int numberLayers; // No of layers private final int[] neuronCounts; // Neuron count in each layer, 0 is input // layer. private final float[][][] fWeights; // Weights between neurons. // fWeight[fromLayer][fromNeuron][toNeuron] // is the weight from fromNeuron in // fromLayer to toNeuron in layer // fromLayer+1. private float[][] neuronOutput; // Temporary storage of output from previous layer public float[] compute(float[] input) { // Copy input values to input layer output for (int i = 0; i < inputNeurons; i++) { neuronOutput[0][i] = input[i]; } // Loop through layers for (int layer = 1; layer < numberLayers; layer++) { // Loop over neurons in the layer and determine weighted input sum for (int neuron = 0; neuron < neuronCounts[layer]; neuron++) { // Bias neuron is the last neuron in the previous layer int biasNeuron = neuronCounts[layer - 1]; // Get weighted input from bias neuron - output is always 1.0 float activation = 1.0F * fWeights[layer - 1][biasNeuron][neuron]; // Get weighted inputs from rest of neurons in previous layer for (int inputNeuron = 0; inputNeuron < biasNeuron; inputNeuron++) { activation += neuronOutput[layer-1][inputNeuron] * fWeights[layer - 1][inputNeuron][neuron]; } // Store neuron output for next round of computation neuronOutput[layer][neuron] = sigmoid(activation); } } // Return output from network = output from last layer float[] result = new float[outputNeurons]; for (int i = 0; i < outputNeurons; i++) result[i] = neuronOutput[numberLayers - 1][i]; return result; } private final static float sigmoid(final float input) { return (float) (1.0F / (1.0F + Math.exp(-1.0F * input))); } } I am running the JVM with the -server option, and as of now my code is between 25% and 50% slower than similar C code. What can I do to improve this situation? Thank you, Martin Wiboe

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  • How to engineer features for machine learning

    - by Ivo Danihelka
    Do you have some advices or reading how to engineer features for a machine learning task? Good input features are important even for a neural network. The chosen features will affect the needed number of hidden neurons and the needed number of training examples. The following is an example problem, but I'm interested in feature engineering in general. A motivation example: What would be a good input when looking at a puzzle (e.g., 15-puzzle or Sokoban)? Would it be possible to recognize which of two states is closer to the goal?

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  • Operant conditioning algorithm?

    - by Ken
    What's the best way to implement real time operant conditioning (supervised reward/punishment-based learning) for an agent? Should I use a neural network (and what type)? Or something else? I want the agent to be able to be trained to follow commands like a dog. The commands would be in the form of gestures on a touchscreen. I want the agent to be able to be trained to follow a path (in continuous 2D space), make behavioral changes on command (modeled by FSM state transitions), and perform sequences of actions. The agent would be in a simulated physical environment.

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  • Android Scan for Wifi networks

    - by Nils
    Hello, I'm trying to scan for wireless networks and found this helpful source on the net. Unfortunately it's not working and I have no idea why. My problem is that I can't wait 10 minutes for the result - I need them within a few seconds and thought about setting the boolean variable waiting on false as soon as I get a result.... well, it runs forever ... looks like nothing is received. Any idea ? Thanks. // -- Sample WiFi implementation - http://groups.google.com/group/android-developers/browse_thread/thread/f722d5f90cfae69 IntentFilter i = new IntentFilter(); i.addAction(WifiManager.SCAN_RESULTS_AVAILABLE_ACTION); registerReceiver(new BroadcastReceiver(){ @Override public void onReceive(Context c, Intent i){ // Code to execute when SCAN_RESULTS_AVAILABLE_ACTION event occurs mWifiManager = (WifiManager) c.getSystemService(Context.WIFI_SERVICE); wireless = mWifiManager.getScanResults(); // Returns a <list> of scanResults waiting = false; } } ,i); // -- End Wifi Sample mWifiManager.startScan(); while (waiting) { try { Thread.sleep(200); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } Log.d("PROJECT1","Wifi WAITING"); }

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  • Unable to connect on socket across different networks.

    - by maleki
    I am having trouble connecting my online application to others across another network. I am able to give them the hostAddress to connect when we are on the same network but when we are doing it across the internet the generated host address doesn't allow a connection, nor does using the ip address gotten from online sites such as whatismyip.com My biggest issue isn't debugging this code, because it works over intra-network but The server doesn't see attempts when we try to move to different networks. Also, the test ip I am using is 2222. InetAddress addr = InetAddress.getLocalHost(); String hostname = addr.getHostName(); System.out.println("Hostname: " + hostname); System.out.println("IP: " + addr.getHostAddress()); I display the host to the server when it is starting if (isClient) { System.out.println("Client Starting.."); clientSocket = new Socket(host, port_number); } else { System.out.println("Server Starting.."); echoServer = new ServerSocket(port_number); clientSocket = echoServer.accept(); System.out.println("Warning, Incoming Game.."); }

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