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  • Random forests for short texts

    - by Jasie
    Hi all, I've been reading about Random Forests (1,2) because I think it'd be really cool to be able to classify a set of 1,000 sentences into pre-defined categories. I'm wondering if someone can explain to me the algorithm better, I think the papers are a bit dense. Here's the gist from 1: Overview We assume that the user knows about the construction of single classification trees. Random Forests grows many classification trees. To classify a new object from an input vector, put the input vector down each of the trees in the forest. Each tree gives a classification, and we say the tree "votes" for that class. The forest chooses the classification having the most votes (over all the trees in the forest). Each tree is grown as follows: If the number of cases in the training set is N, sample N cases at random - but with replacement, from the original data. This sample will be the training set for growing the tree. If there are M input variables, a number m « M is specified such that at each node, m variables are selected at random out of the M and the best split on these m is used to split the node. The value of m is held constant during the forest growing. Each tree is grown to the largest extent possible. There is no pruning. So, does this look right? I'd have N = 1,000 training cases (sentences), M = 100 variables (let's say, there are only 100 unique words across all sentences), so the input vector is a bit vector of length 100 corresponding to each word. I randomly sample N = 1000 cases at random (with replacement) to build trees from. I pick some small number of input variables m « M, let's say 10, to build a tree off of. Do I build tree nodes randomly, using all m input variables? How many classification trees do I build? Thanks for the help!

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  • Creating Java Neural Networks

    - by Tori Wieldt
    A new article on OTN/Java, titled “Neural Networks on the NetBeans Platform,” by Zoran Sevarac, reports on Neuroph Studio, an open source Java neural network development environment built on top of the NetBeans Platform. This article shows how to create Java neural networks for classification.From the article:“Neural networks are artificial intelligence (machine learning technology) suitable for ill-defined problems, such as recognition, prediction, classification, and control. This article shows how to create some Java neural networks for classification. Note that Neuroph Studio also has support for image recognition, text character recognition, and handwritten letter recognition...”“Neuroph Studio is a Java neural network development environment built on top of the NetBeans Platform and Neuroph Framework. It is an IDE-like environment customized for neural network development. Neuroph Studio is a GUI that sits on top of Neuroph Framework. Neuroph Framework is a full-featured Java framework that provides classes for building neural networks…”The author, Zoran Sevarac, is a teaching assistant at Belgrade University, Department for Software Engineering, and a researcher at the Laboratory for Artificial Intelligence at Belgrade University. He is also a member of GOAI Research Network. Through his research, he has been working on the development of a Java neural network framework, which was released as the open source project Neuroph.Brainy stuff. Read the article here.

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  • Struggling with a data modeling problem

    - by rpat
    I am struggling with a data model (I use MySQL for the database). I am uneasy about what I have come up with. If someone could suggest a better approach, or point me to some reference matter I would appreciate it. The data would have organizations of many types. I am trying to do a 3 level classification (Class, Category, Type). Say if I have 'Italian Restaurant', it will have the following classification Food Services Restaurants Italian However, an organization may belong to multiple groups. A restaurant may also serve Chinese and Italian. So it will fit into 2 classifications Food Services Restaurants Italian Food Services Restaurants Chinese The classification reference tables would be like the following: ORG_CLASS (RowId, ClassCode, ClassName) 1, FOOD, Food Services ORG_CATEGORY(RowId, ClassCode, CategoryCode, CategoryName) 1, FOOD, REST, Restaurants ORG_TYPE (RowId, ClassCode, CategoryCode, TypeCode, TypeName) 100, FOOD, REST, ITAL, Italian 101, FOOD, REST, CHIN, Chinese 102, FOOD, REST, SPAN, Spanish 103, FOOD, REST, MEXI, Mexican 104, FOOD, REST, FREN, French 105, FOOD, REST, MIDL, Middle Eastern The actual data tables would be like the following: I will allow an organization a max of 3 classifications. I will have 3 GroupIds each pointing to a row in ORG_TYPE. So I have my ORGANIZATION_TABLE ORGANIZATION_TABLE (OrgGroupId1, OrgGroupId2, OrgGroupId3, OrgName, OrgAddres) 100,103,NULL,MyRestaurant1, MyAddr1 100,102,NULL,MyRestaurant2, MyAddr2 100,104,105, MyRestaurant3, MyAddr3 During data add, a dialog could let the user choose the clssa, category, type and the corresponding GroupId could be populated with the rowid from the ORG_TYPE table. During Search, If all three classification are chosen, It will be more specific. For example, if Food Services Restaurants Italian is the criteria, the where clause would be 'where OrgGroupId1 = 100' If only 2 levels are chosen Food Services Restaurants I have to do 'where OrgGroupId1 in (100,101,102,103,104,105, .....)' - There could be a hundred in that list I will disallow class level search. That is I will force selection of a class and category The Ids would be integers. I am trying to see performance issues and other issues. Overall, would this work? or I need to throw this out and start from scratch.

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  • How to input test data using the DecisionTree module in python?

    - by lifera1n
    On the Python DescisionTree module homepage (DecisionTree-1.6.1), they give a piece of example code. Here it is: dt = DecisionTree( training_datafile = "training.dat", debug1 = 1 ) dt.get_training_data() dt.show_training_data() root_node = dt.construct_decision_tree_classifier() root_node.display_decision_tree(" ") test_sample = ['exercising=>never', 'smoking=>heavy', 'fatIntake=>heavy', 'videoAddiction=>heavy'] classification = dt.classify(root_node, test_sample) print "Classification: ", classification My question is: How can I specify sample data (test_sample here) from variables? On the project homepage, it says: "You classify new data by first constructing a new data vector:" I have searched around but have been unable to find out what a data vector is or the answer to my question. Any help would be appreciated!

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  • To 'seal' or to 'wrap': that is the question ...

    - by Simon Thorpe
    If you follow this blog you will already have a good idea of what Oracle Information Rights Management (IRM) does. By encrypting documents Oracle IRM secures and tracks all copies of those documents, everywhere they are shared, stored and used, inside and outside your firewall. Unlike earlier encryption products authorized end users can transparently use IRM-encrypted documents within standard desktop applications such as Microsoft Office, Adobe Reader, Internet Explorer, etc. without first having to manually decrypt the documents. Oracle refers to this encryption process as 'sealing', and it is thanks to the freely available Oracle IRM Desktop that end users can transparently open 'sealed' documents within desktop applications without needing to know they are encrypted and without being able to save them out in unencrypted form. So Oracle IRM provides an amazing, unprecedented capability to secure and track every copy of your most sensitive information - even enabling end user access to be revoked long after the documents have been copied to home computers or burnt to CD/DVDs. But what doesn't it do? The main limitation of Oracle IRM (and IRM products in general) is format and platform support. Oracle IRM supports by far the broadest range of desktop applications and the deepest range of application versions, compared to other IRM vendors. This is important because you don't want to exclude sensitive business processes from being 'sealed' just because either the file format is not supported or users cannot upgrade to the latest version of Microsoft Office or Adobe Reader. But even the Oracle IRM Desktop can only open 'sealed' documents on Windows and does not for example currently support CAD (although this is coming in a future release). IRM products from other vendors are much more restrictive. To address this limitation Oracle has just made available the Oracle IRM Wrapper all-format, any-platform encryption/decryption utility. It uses the same core Oracle IRM web services and classification-based rights model to manually encrypt and decrypt files of any format on any Java-capable operating system. The encryption envelope is the same, and it uses the same role- and classification-based rights as 'sealing', but before you can use 'wrapped' files you must manually decrypt them. Essentially it is old-school manual encryption/decryption using the modern classification-based rights model of Oracle IRM. So if you want to share sensitive CAD documents, ZIP archives, media files, etc. with a partner, and you already have Oracle IRM, it's time to get 'wrapping'! Please note that the Oracle IRM Wrapper is made available as a free sample application (with full source code) and is not formally supported by Oracle. However it is informally supported by its author, Martin Lambert, who also created the widely-used Oracle IRM Hot Folder automated sealing application.

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  • TFS API-Process Template currently applied to the Team Project

    - by Tarun Arora
    Download Demo Solution - here In this blog post I’ll show you how to use the TFS API to get the name of the Process Template that is currently applied to the Team Project. You can also download the demo solution attached, I’ve tested this solution against TFS 2010 and TFS 2011.    1. Connecting to TFS Programmatically I have a blog post that shows you from where to download the VS 2010 SP1 SDK and how to connect to TFS programmatically. private TfsTeamProjectCollection _tfs; private string _selectedTeamProject;   TeamProjectPicker tfsPP = new TeamProjectPicker(TeamProjectPickerMode.SingleProject, false); tfsPP.ShowDialog(); this._tfs = tfsPP.SelectedTeamProjectCollection; this._selectedTeamProject = tfsPP.SelectedProjects[0].Name; 2. Programmatically get the Process Template details of the selected Team Project I’ll be making use of the VersionControlServer service to get the Team Project details and the ICommonStructureService to get the Project Properties. private ProjectProperty[] GetProcessTemplateDetailsForTheSelectedProject() { var vcs = _tfs.GetService<VersionControlServer>(); var ics = _tfs.GetService<ICommonStructureService>(); ProjectProperty[] ProjectProperties = null; var p = vcs.GetTeamProject(_selectedTeamProject); string ProjectName = string.Empty; string ProjectState = String.Empty; int templateId = 0; ProjectProperties = null; ics.GetProjectProperties(p.ArtifactUri.AbsoluteUri, out ProjectName, out ProjectState, out templateId, out ProjectProperties); return ProjectProperties; } 3. What’s the catch? The ProjectProperties will contain a property “Process Template” which as a value has the name of the process template. So, you will be able to use the below line of code to get the name of the process template. var processTemplateName = processTemplateDetails.Where(pt => pt.Name == "Process Template").Select(pt => pt.Value).FirstOrDefault();   However, if the process template does not contain the property “Process Template” then you will need to add it. So, the question becomes how do i add the Name property to the Process Template. Download the Process Template from the Process Template Manager on your local        Once you have downloaded the Process Template to your local machine, navigate to the Classification folder with in the template       From the classification folder open Classification.xml        Add a new property <property name=”Process Template” value=”MSF for CMMI Process Improvement v5.0” />           4. Putting it all together… using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Windows.Forms; using Microsoft.TeamFoundation.Client; using Microsoft.TeamFoundation.VersionControl.Client; using Microsoft.TeamFoundation.Server; using System.Diagnostics; using Microsoft.TeamFoundation.WorkItemTracking.Client; namespace TfsAPIDemoProcessTemplate { public partial class Form1 : Form { public Form1() { InitializeComponent(); } private TfsTeamProjectCollection _tfs; private string _selectedTeamProject; private void btnConnect_Click(object sender, EventArgs e) { TeamProjectPicker tfsPP = new TeamProjectPicker(TeamProjectPickerMode.SingleProject, false); tfsPP.ShowDialog(); this._tfs = tfsPP.SelectedTeamProjectCollection; this._selectedTeamProject = tfsPP.SelectedProjects[0].Name; var processTemplateDetails = GetProcessTemplateDetailsForTheSelectedProject(); listBox1.Items.Clear(); listBox1.Items.Add(String.Format("Team Project Selected => '{0}'", _selectedTeamProject)); listBox1.Items.Add(Environment.NewLine); var processTemplateName = processTemplateDetails.Where(pt => pt.Name == "Process Template") .Select(pt => pt.Value).FirstOrDefault(); if (!string.IsNullOrEmpty(processTemplateName)) { listBox1.Items.Add(Environment.NewLine); listBox1.Items.Add(String.Format("Process Template Name: {0}", processTemplateName)); } else { listBox1.Items.Add(String.Format("The Process Template does not have the 'Name' property set up")); listBox1.Items.Add(String.Format("***TIP: Download the Process Template and in Classification.xml add a new property Name, update the template then you will be able to see the Process Template Name***")); listBox1.Items.Add(String.Format(" - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -")); } } private ProjectProperty[] GetProcessTemplateDetailsForTheSelectedProject() { var vcs = _tfs.GetService<VersionControlServer>(); var ics = _tfs.GetService<ICommonStructureService>(); ProjectProperty[] ProjectProperties = null; var p = vcs.GetTeamProject(_selectedTeamProject); string ProjectName = string.Empty; string ProjectState = String.Empty; int templateId = 0; ProjectProperties = null; ics.GetProjectProperties(p.ArtifactUri.AbsoluteUri, out ProjectName, out ProjectState, out templateId, out ProjectProperties); return ProjectProperties; } } } Thank you for taking the time out and reading this blog post. If you enjoyed the post, remember to subscribe to http://feeds.feedburner.com/TarunArora. Have you come across a better way of doing this, please share your experience here. Questions/Feedback/Suggestions, etc please leave a comment. Thank You! Share this post : CodeProject

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  • June 25 changes to BIS 742.15 How does it impact SSL iPhone App export compliance

    - by Rob
    This question isn't strictly development-related but I hope it's still acceptable :) On June 25, 2010 the BIS updated 742.15 and of interest to me is the new 742.14(b)(4) "Exclusions from mass market classification request, encryption registration and self-classification reporting requirements" and 742.15(b)(4)(ii) which states… (ii) Foreign products developed with or incorporating U.S.-origin encryption source code, components, or toolkits. Foreign products developed with or incorporating U.S. origin encryption source code, components or toolkits that are subject to the EAR, provided that the U.S. origin encryption items have previously been classified or registered and authorized by BIS and the cryptographic functionality has not been changed. Such products include foreign developed products that are designed to operate with U.S. products through a cryptographic interface. I take this to mean that my Canadian produced product that uses https is now excluded from requiring a CCATTS. What does everyone else think?

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  • Extensible Metadata in Oracle IRM 11g

    - by martin.abrahams
    Another significant change in Oracle IRM 11g is that we now use XML to create the tamperproof header for each sealed document. This article explains what this means, and what benefit it offers. So, every sealed file has a metadata header that contains information about the document - its classification, its format, the user who sealed it, the name and URL of the IRM Server, and much more. The IRM Desktop and other IRM applications use this information to formulate the request for rights, as well as to enhance the user experience by exposing some of the metadata in the user interface. For example, in Windows explorer you can see some metadata exposed as properties of a sealed file and in the mouse-over tooltip. The following image shows 10g and 11g metadata side by side. As you can see, the 11g metadata is written as XML as opposed to the simple delimited text format used in 10g. So why does this matter? The key benefit of using XML is that it creates the opportunity for sealing applications to use custom metadata. This in turn creates the opportunity for custom classification models to be defined and enforced. Out of the box, the solution uses the context classification model, in which two particular pieces of metadata form the basis of rights evaluation - the context name and the document's item code. But a custom sealing application could use some other model entirely, enabling rights decisions to be evaluated on some other basis. The integration with Oracle Beehive is a great example of this. When a user adds a document to a Beehive workspace, that document can be automatically sealed with metadata that represents the Beehive security model rather than the context model. As a consequence, IRM can enforce the Beehive security model precisely and all rights configuration can actually be managed through the Beehive UI rather than the IRM UI. In this scenario, IRM simply supports the Beehive application, seamlessly extending Beehive security to all copies of workspace documents without any additional administration. Finally, I mentioned that the metadata header is tamperproof. This is obviously to stop a rogue user modifying the metadata with a view to gaining unauthorised access - reclassifying a board document to a less sensitive classifcation, for example. To prevent this, the header is digitally signed and can only be manipulated by a suitably authorised sealing application.

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  • regex to break a string into "key" / "value" pairs when # of pairs is variable?

    - by user141146
    Hi, I'm using Ruby 1.9 and I'm wondering if there's a simple regex way to do this. I have many strings that look like some variation of this: str = "Allocation: Random, Control: Active Control, Endpoint Classification: Safety Study, Intervention Model: Parallel Assignment, Masking: Double Blind (Subject, Caregiver, Investigator, Outcomes Assessor), Primary Purpose: Treatment" The idea is that I'd like to break this string into its functional components Allocation: Random Control: Active Control Endpoint Classification: Safety Study Intervention Model: Parallel Assignment Masking: Double Blind (Subject, Caregiver, Investigator, Outcomes, Assessor) Primary Purpose: Treatment The "syntax" of the string is that there is a "key" which consists of one or more "words or other characters" (e.g. Intervention Model) followed by a colon (:). Each key has a corresponding "value" (e.g., Parallel Assignment) that immediately follows the colon (:)…The "value" consists of words, commas (whatever), but the end of the "value" is signaled by a comma. The # of key/value pairs is variable. I'm also assuming that colons (:) aren't allowed to be part of the "value" and that commas (,) aren't allowed to be part of the "key". One would think that there is a "regexy" way to break this into its component pieces, but my attempt at making an appropriate matching regex only picks up the first key/value pair and I'm not sure how to capture the others. Any thoughts on how to capture the other matches? regex = /(([^,]+?): ([^:]+?,))+?/ => /(([^,]+?): ([^:]+?,))+?/ irb(main):139:0> str = "Allocation: Random, Control: Active Control, Endpoint Classification: Safety Study, Intervention Model: Parallel Assignment, Masking: Double Blind (Subject, Caregiver, Investigator, Outcomes Assessor), Primary Purpose: Treatment" => "Allocation: Random, Control: Active Control, Endpoint Classification: Safety Study, Intervention Model: Parallel Assignment, Masking: Double Blind (Subject, Caregiver, Investigator, Outcomes Assessor), Primary Purpose: Treatment" irb(main):140:0> str.match regex => #<MatchData "Allocation: Random," 1:"Allocation: Random," 2:"Allocation" 3:" Random,"> irb(main):141:0> $1 => "Allocation: Random," irb(main):142:0> $2 => "Allocation" irb(main):143:0> $3 => " Random," irb(main):144:0> $4 => nil

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  • Creating a thematic map

    - by jsharma
    This post describes how to create a simple thematic map, just a state population layer, with no underlying map tile layer. The map shows states color-coded by total population. The map is interactive with info-windows and can be panned and zoomed. The sample code demonstrates the following: Displaying an interactive vector layer with no background map tile layer (i.e. purpose and use of the Universe object) Using a dynamic (i.e. defined via the javascript client API) color bucket style Dynamically changing a layer's rendering style Specifying which attribute value to use in determining the bucket, and hence style, for a feature (FoI) The result is shown in the screenshot below. The states layer was defined, and stored in the user_sdo_themes view of the mvdemo schema, using MapBuilder. The underlying table is defined as SQL> desc states_32775  Name                                      Null?    Type ----------------------------------------- -------- ----------------------------  STATE                                              VARCHAR2(26)  STATE_ABRV                                         VARCHAR2(2) FIPSST                                             VARCHAR2(2) TOTPOP                                             NUMBER PCTSMPLD                                           NUMBER LANDSQMI                                           NUMBER POPPSQMI                                           NUMBER ... MEDHHINC NUMBER AVGHHINC NUMBER GEOM32775 MDSYS.SDO_GEOMETRY We'll use the TOTPOP column value in the advanced (color bucket) style for rendering the states layers. The predefined theme (US_STATES_BI) is defined as follows. SQL> select styling_rules from user_sdo_themes where name='US_STATES_BI'; STYLING_RULES -------------------------------------------------------------------------------- <?xml version="1.0" standalone="yes"?> <styling_rules highlight_style="C.CB_QUAL_8_CLASS_DARK2_1"> <hidden_info> <field column="STATE" name="Name"/> <field column="POPPSQMI" name="POPPSQMI"/> <field column="TOTPOP" name="TOTPOP"/> </hidden_info> <rule column="TOTPOP"> <features style="states_totpop"> </features> <label column="STATE_ABRV" style="T.BLUE_SERIF_10"> 1 </label> </rule> </styling_rules> SQL> The theme definition specifies that the state, poppsqmi, totpop, state_abrv, and geom columns will be queried from the states_32775 table. The state_abrv value will be used to label the state while the totpop value will be used to determine the color-fill from those defined in the states_totpop advanced style. The states_totpop style, which we will not use in our demo, is defined as shown below. SQL> select definition from user_sdo_styles where name='STATES_TOTPOP'; DEFINITION -------------------------------------------------------------------------------- <?xml version="1.0" ?> <AdvancedStyle> <BucketStyle> <Buckets default_style="C.S02_COUNTRY_AREA"> <RangedBucket seq="0" label="10K - 5M" low="10000" high="5000000" style="C.SEQ6_01" /> <RangedBucket seq="1" label="5M - 12M" low="5000001" high="1.2E7" style="C.SEQ6_02" /> <RangedBucket seq="2" label="12M - 20M" low="1.2000001E7" high="2.0E7" style="C.SEQ6_04" /> <RangedBucket seq="3" label="&gt; 20M" low="2.0000001E7" high="5.0E7" style="C.SEQ6_05" /> </Buckets> </BucketStyle> </AdvancedStyle> SQL> The demo defines additional advanced styles via the OM.style object and methods and uses those instead when rendering the states layer.   Now let's look at relevant snippets of code that defines the map extent and zoom levels (i.e. the OM.universe),  loads the states predefined vector layer (OM.layer), and sets up the advanced (color bucket) style. Defining the map extent and zoom levels. function initMap() {   //alert("Initialize map view");     // define the map extent and number of zoom levels.   // The Universe object is similar to the map tile layer configuration   // It defines the map extent, number of zoom levels, and spatial reference system   // well-known ones (like web mercator/google/bing or maps.oracle/elocation are predefined   // The Universe must be defined when there is no underlying map tile layer.   // When there is a map tile layer then that defines the map extent, srid, and zoom levels.      var uni= new OM.universe.Universe(     {         srid : 32775,         bounds : new OM.geometry.Rectangle(                         -3280000, 170000, 2300000, 3200000, 32775),         numberOfZoomLevels: 8     }); The srid specifies the spatial reference system which is Equal-Area Projection (United States). SQL> select cs_name from cs_srs where srid=32775 ; CS_NAME --------------------------------------------------- Equal-Area Projection (United States) The bounds defines the map extent. It is a Rectangle defined using the lower-left and upper-right coordinates and srid. Loading and displaying the states layer This is done in the states() function. The full code is at the end of this post, however here's the snippet which defines the states VectorLayer.     // States is a predefined layer in user_sdo_themes     var  layer2 = new OM.layer.VectorLayer("vLayer2",     {         def:         {             type:OM.layer.VectorLayer.TYPE_PREDEFINED,             dataSource:"mvdemo",             theme:"us_states_bi",             url: baseURL,             loadOnDemand: false         },         boundingTheme:true      }); The first parameter is a layer name, the second is an object literal for a layer config. The config object has two attributes: the first is the layer definition, the second specifies whether the layer is a bounding one (i.e. used to determine the current map zoom and center such that the whole layer is displayed within the map window) or not. The layer config has the following attributes: type - specifies whether is a predefined one, a defined via a SQL query (JDBC), or in a json-format file (DATAPACK) theme - is the predefined theme's name url - is the location of the mapviewer server loadOnDemand - specifies whether to load all the features or just those that lie within the current map window and load additional ones as needed on a pan or zoom The code snippet below dynamically defines an advanced style and then uses it, instead of the 'states_totpop' style, when rendering the states layer. // override predefined rendering style with programmatic one    var theRenderingStyle =      createBucketColorStyle('YlBr5', colorSeries, 'States5', true);   // specify which attribute is used in determining the bucket (i.e. color) to use for the state   // It can be an array because the style could be a chart type (pie/bar)   // which requires multiple attribute columns     // Use the STATE.TOTPOP column (aka attribute) value here    layer2.setRenderingStyle(theRenderingStyle, ["TOTPOP"]); The style itself is defined in the createBucketColorStyle() function. Dynamically defining an advanced style The advanced style used here is a bucket color style, i.e. a color style is associated with each bucket. So first we define the colors and then the buckets.     numClasses = colorSeries[colorName].classes;    // create Color Styles    for (var i=0; i < numClasses; i++)    {         theStyles[i] = new OM.style.Color(                      {fill: colorSeries[colorName].fill[i],                        stroke:colorSeries[colorName].stroke[i],                       strokeOpacity: useGradient? 0.25 : 1                      });    }; numClasses is the number of buckets. The colorSeries array contains the color fill and stroke definitions and is: var colorSeries = { //multi-hue color scheme #10 YlBl. "YlBl3": {   classes:3,                  fill: [0xEDF8B1, 0x7FCDBB, 0x2C7FB8],                  stroke:[0xB5DF9F, 0x72B8A8, 0x2872A6]   }, "YlBl5": {   classes:5,                  fill:[0xFFFFCC, 0xA1DAB4, 0x41B6C4, 0x2C7FB8, 0x253494],                  stroke:[0xE6E6B8, 0x91BCA2, 0x3AA4B0, 0x2872A6, 0x212F85]   }, //multi-hue color scheme #11 YlBr.  "YlBr3": {classes:3,                  fill:[0xFFF7BC, 0xFEC44F, 0xD95F0E],                  stroke:[0xE6DEA9, 0xE5B047, 0xC5360D]   }, "YlBr5": {classes:5,                  fill:[0xFFFFD4, 0xFED98E, 0xFE9929, 0xD95F0E, 0x993404],                  stroke:[0xE6E6BF, 0xE5C380, 0xE58A25, 0xC35663, 0x8A2F04]     }, etc. Next we create the bucket style.    bucketStyleDef = {       numClasses : colorSeries[colorName].classes, //      classification: 'custom',  //since we are supplying all the buckets //      buckets: theBuckets,       classification: 'logarithmic',  // use a logarithmic scale       styles: theStyles,       gradient:  useGradient? 'linear' : 'off' //      gradient:  useGradient? 'radial' : 'off'     };    theBucketStyle = new OM.style.BucketStyle(bucketStyleDef);    return theBucketStyle; A BucketStyle constructor takes a style definition as input. The style definition specifies the number of buckets (numClasses), a classification scheme (which can be equal-ranged, logarithmic scale, or custom), the styles for each bucket, whether to use a gradient effect, and optionally the buckets (required when using a custom classification scheme). The full source for the demo <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd"> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> <title>Oracle Maps V2 Thematic Map Demo</title> <script src="http://localhost:8080/mapviewer/jslib/v2/oraclemapsv2.js" type="text/javascript"> </script> <script type="text/javascript"> //var $j = jQuery.noConflict(); var baseURL="http://localhost:8080/mapviewer"; // location of mapviewer OM.gv.proxyEnabled =false; // no mvproxy needed OM.gv.setResourcePath(baseURL+"/jslib/v2/images/"); // location of resources for UI elements like nav panel buttons var map = null; // the client mapviewer object var statesLayer = null, stateCountyLayer = null; // The vector layers for states and counties in a state var layerName="States"; // initial map center and zoom var mapCenterLon = -20000; var mapCenterLat = 1750000; var mapZoom = 2; var mpoint = new OM.geometry.Point(mapCenterLon,mapCenterLat,32775); var currentPalette = null, currentStyle=null; // set an onchange listener for the color palette select list // initialize the map // load and display the states layer $(document).ready( function() { $("#demo-htmlselect").change(function() { var theColorScheme = $(this).val(); useSelectedColorScheme(theColorScheme); }); initMap(); states(); } ); /** * color series from ColorBrewer site (http://colorbrewer2.org/). */ var colorSeries = { //multi-hue color scheme #10 YlBl. "YlBl3": { classes:3, fill: [0xEDF8B1, 0x7FCDBB, 0x2C7FB8], stroke:[0xB5DF9F, 0x72B8A8, 0x2872A6] }, "YlBl5": { classes:5, fill:[0xFFFFCC, 0xA1DAB4, 0x41B6C4, 0x2C7FB8, 0x253494], stroke:[0xE6E6B8, 0x91BCA2, 0x3AA4B0, 0x2872A6, 0x212F85] }, //multi-hue color scheme #11 YlBr. "YlBr3": {classes:3, fill:[0xFFF7BC, 0xFEC44F, 0xD95F0E], stroke:[0xE6DEA9, 0xE5B047, 0xC5360D] }, "YlBr5": {classes:5, fill:[0xFFFFD4, 0xFED98E, 0xFE9929, 0xD95F0E, 0x993404], stroke:[0xE6E6BF, 0xE5C380, 0xE58A25, 0xC35663, 0x8A2F04] }, // single-hue color schemes (blues, greens, greys, oranges, reds, purples) "Purples5": {classes:5, fill:[0xf2f0f7, 0xcbc9e2, 0x9e9ac8, 0x756bb1, 0x54278f], stroke:[0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3] }, "Blues5": {classes:5, fill:[0xEFF3FF, 0xbdd7e7, 0x68aed6, 0x3182bd, 0x18519C], stroke:[0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3] }, "Greens5": {classes:5, fill:[0xedf8e9, 0xbae4b3, 0x74c476, 0x31a354, 0x116d2c], stroke:[0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3] }, "Greys5": {classes:5, fill:[0xf7f7f7, 0xcccccc, 0x969696, 0x636363, 0x454545], stroke:[0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3] }, "Oranges5": {classes:5, fill:[0xfeedde, 0xfdb385, 0xfd8d3c, 0xe6550d, 0xa63603], stroke:[0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3] }, "Reds5": {classes:5, fill:[0xfee5d9, 0xfcae91, 0xfb6a4a, 0xde2d26, 0xa50f15], stroke:[0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3] } }; function createBucketColorStyle( colorName, colorSeries, rangeName, useGradient) { var theBucketStyle; var bucketStyleDef; var theStyles = []; var theColors = []; var aBucket, aStyle, aColor, aRange; var numClasses ; numClasses = colorSeries[colorName].classes; // create Color Styles for (var i=0; i < numClasses; i++) { theStyles[i] = new OM.style.Color( {fill: colorSeries[colorName].fill[i], stroke:colorSeries[colorName].stroke[i], strokeOpacity: useGradient? 0.25 : 1 }); }; bucketStyleDef = { numClasses : colorSeries[colorName].classes, // classification: 'custom', //since we are supplying all the buckets // buckets: theBuckets, classification: 'logarithmic', // use a logarithmic scale styles: theStyles, gradient: useGradient? 'linear' : 'off' // gradient: useGradient? 'radial' : 'off' }; theBucketStyle = new OM.style.BucketStyle(bucketStyleDef); return theBucketStyle; } function initMap() { //alert("Initialize map view"); // define the map extent and number of zoom levels. // The Universe object is similar to the map tile layer configuration // It defines the map extent, number of zoom levels, and spatial reference system // well-known ones (like web mercator/google/bing or maps.oracle/elocation are predefined // The Universe must be defined when there is no underlying map tile layer. // When there is a map tile layer then that defines the map extent, srid, and zoom levels. var uni= new OM.universe.Universe( { srid : 32775, bounds : new OM.geometry.Rectangle( -3280000, 170000, 2300000, 3200000, 32775), numberOfZoomLevels: 8 }); map = new OM.Map( document.getElementById('map'), { mapviewerURL: baseURL, universe:uni }) ; var navigationPanelBar = new OM.control.NavigationPanelBar(); map.addMapDecoration(navigationPanelBar); } // end initMap function states() { //alert("Load and display states"); layerName = "States"; if(statesLayer) { // states were already visible but the style may have changed // so set the style to the currently selected one var theData = $('#demo-htmlselect').val(); setStyle(theData); } else { // States is a predefined layer in user_sdo_themes var layer2 = new OM.layer.VectorLayer("vLayer2", { def: { type:OM.layer.VectorLayer.TYPE_PREDEFINED, dataSource:"mvdemo", theme:"us_states_bi", url: baseURL, loadOnDemand: false }, boundingTheme:true }); // add drop shadow effect and hover style var shadowFilter = new OM.visualfilter.DropShadow({opacity:0.5, color:"#000000", offset:6, radius:10}); var hoverStyle = new OM.style.Color( {stroke:"#838383", strokeThickness:2}); layer2.setHoverStyle(hoverStyle); layer2.setHoverVisualFilter(shadowFilter); layer2.enableFeatureHover(true); layer2.enableFeatureSelection(false); layer2.setLabelsVisible(true); // override predefined rendering style with programmatic one var theRenderingStyle = createBucketColorStyle('YlBr5', colorSeries, 'States5', true); // specify which attribute is used in determining the bucket (i.e. color) to use for the state // It can be an array because the style could be a chart type (pie/bar) // which requires multiple attribute columns // Use the STATE.TOTPOP column (aka attribute) value here layer2.setRenderingStyle(theRenderingStyle, ["TOTPOP"]); currentPalette = "YlBr5"; var stLayerIdx = map.addLayer(layer2); //alert('State Layer Idx = ' + stLayerIdx); map.setMapCenter(mpoint); map.setMapZoomLevel(mapZoom) ; // display the map map.init() ; statesLayer=layer2; // add rt-click event listener to show counties for the state layer2.addListener(OM.event.MouseEvent.MOUSE_RIGHT_CLICK,stateRtClick); } // end if } // end states function setStyle(styleName) { // alert("Selected Style = " + styleName); // there may be a counties layer also displayed. // that wll have different bucket ranges so create // one style for states and one for counties var newRenderingStyle = null; if (layerName === "States") { if(/3/.test(styleName)) { newRenderingStyle = createBucketColorStyle(styleName, colorSeries, 'States3', false); currentStyle = createBucketColorStyle(styleName, colorSeries, 'Counties3', false); } else { newRenderingStyle = createBucketColorStyle(styleName, colorSeries, 'States5', false); currentStyle = createBucketColorStyle(styleName, colorSeries, 'Counties5', false); } statesLayer.setRenderingStyle(newRenderingStyle, ["TOTPOP"]); if (stateCountyLayer) stateCountyLayer.setRenderingStyle(currentStyle, ["TOTPOP"]); } } // end setStyle function stateRtClick(evt){ var foi = evt.feature; //alert('Rt-Click on State: ' + foi.attributes['_label_'] + // ' with pop ' + foi.attributes['TOTPOP']); // display another layer with counties info // layer may change on each rt-click so create and add each time. var countyByState = null ; // the _label_ attribute of a feature in this case is the state abbreviation // we will use that to query and get the counties for a state var sqlText = "select totpop,geom32775 from counties_32775_moved where state_abrv="+ "'"+foi.getAttributeValue('_label_')+"'"; // alert(sqlText); if (currentStyle === null) currentStyle = createBucketColorStyle('YlBr5', colorSeries, 'Counties5', false); /* try a simple style instead new OM.style.ColorStyle( { stroke: "#B8F4FF", fill: "#18E5F4", fillOpacity:0 } ); */ // remove existing layer if any if(stateCountyLayer) map.removeLayer(stateCountyLayer); countyByState = new OM.layer.VectorLayer("stCountyLayer", {def:{type:OM.layer.VectorLayer.TYPE_JDBC, dataSource:"mvdemo", sql:sqlText, url:baseURL}}); // url:baseURL}, // renderingStyle:currentStyle}); countyByState.setVisible(true); // specify which attribute is used in determining the bucket (i.e. color) to use for the state countyByState.setRenderingStyle(currentStyle, ["TOTPOP"]); var ctLayerIdx = map.addLayer(countyByState); // alert('County Layer Idx = ' + ctLayerIdx); //map.addLayer(countyByState); stateCountyLayer = countyByState; } // end stateRtClick function useSelectedColorScheme(theColorScheme) { if(map) { // code to update renderStyle goes here //alert('will try to change render style'); setStyle(theColorScheme); } else { // do nothing } } </script> </head> <body bgcolor="#b4c5cc" style="height:100%;font-family:Arial,Helvetica,Verdana"> <h3 align="center">State population thematic map </h3> <div id="demo" style="position:absolute; left:68%; top:44px; width:28%; height:100%"> <HR/> <p/> Choose Color Scheme: <select id="demo-htmlselect"> <option value="YlBl3"> YellowBlue3</option> <option value="YlBr3"> YellowBrown3</option> <option value="YlBl5"> YellowBlue5</option> <option value="YlBr5" selected="selected"> YellowBrown5</option> <option value="Blues5"> Blues</option> <option value="Greens5"> Greens</option> <option value="Greys5"> Greys</option> <option value="Oranges5"> Oranges</option> <option value="Purples5"> Purples</option> <option value="Reds5"> Reds</option> </select> <p/> </div> <div id="map" style="position:absolute; left:10px; top:50px; width:65%; height:75%; background-color:#778f99"></div> <div style="position:absolute;top:85%; left:10px;width:98%" class="noprint"> <HR/> <p> Note: This demo uses HTML5 Canvas and requires IE9+, Firefox 10+, or Chrome. No map will show up in IE8 or earlier. </p> </div> </body> </html>

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  • Moving monarchs and dragons: migrating the JDK bugs to JIRA

    - by darcy
    Among insects, monarch butterflies and dragonflies have the longest migrations; migrating JDK bugs involves a long journey as well! As previously announced by Mark back in March, we've been working according to a revised plan to transition the JDK bug management from Sun's legacy system to initially an Oracle-internal JIRA instance which is afterward made visible and usable externally. I've been busily working on this project for the last few months and the team has made good progress on many aspects of the effort: JDK bugs will be imported into JIRA regardless of age; bugs will also be imported regardless of state, including closed bugs. Consequently, the JDK bug project will start pre-populated with over 100,000 existing bugs, some dating all the way back to 1994. This will allow a continuity of information and allow new issues to be linked to old ones. Using a custom import process, the Sun bug numbers will be preserved in JIRA. For example, the Sun bug with bug number 4040458 will become "JDK-4040458" in JIRA. In JIRA the project name, "JDK" in our case, is part of the bug's identifier. Bugs created after the JIRA migration will be numbered starting at 8000000; bugs imported from the legacy system have numbers ranging between 1000000 and 79999999. We're working with the bugs.sun.com team to try to maintain continuity of the ability to both read JDK bug information as well as to file new incidents. At least for now, the overall architecture of bugs.sun.com will be the same as it is today: it will be a gateway bridging to an Oracle-internal system, but the internal system will change to JIRA from the legacy database. Generally we are aiming to preserve the visibility of bugs currently viewable on bugs.sun.com; however, bugs in areas not related to the JDK will not be visible after the transition to JIRA. New incoming incidents will be sent to a separate JIRA project for initial triage before possibly being moved into the JDK project. JDK bug management leans heavily on being able to track the state of bugs in multiple releases, especially to coordinate delivering synchronized security releases (known as CPUs, critital patch updates, in Oracle parlance). For a security release, it is common for half a dozen or more release trains to be affected (for example, JDK 5, JDK 6 update, OpenJDK 6, JDK 7 update, JDK 8, virtual releases for HotSpot express, etc.). We've determined we need to track at least the tuple of (release, responsible engineer/assignee for the release, status in the release) for the release trains a fix is going into. To do this in JIRA, we are creating a separate port/backport issue type along with a custom link type to allow the multiple release information to be easily grouped and presented together. The Sun legacy system had a three-level classification scheme, product, category, and subcategory. Out of the box, JIRA only has a one-level classification, component. We've implemented a custom second-level classification, subcomponent. As part of the bug migration we've taken the opportunity to think about how bugs should be grouped under a two-level system and we'll the new system will be simpler and more regular. The main top-level components of the JDK product will include: core-libs client-libs deploy install security-libs other-libs tools hotspot For the libs areas, the primary name of the subcomportment will be the package of the API in question. In the core-libs component, there will be subcomponents like: java.lang java.lang.class_loading java.math java.util java.util:i18n In the tools component, subcomponents will primarily correspond to command names in $JDK/bin like, jar, javac, and javap. The first several bulk imports of the JDK bugs into JIRA have gone well and we're continuing to refine the import to have greater fidelity to the current data, including by reconstructing information not brought over in a structured fashion during the previous large JDK bug system migration back in 2004. We don't currently have a firm timeline of when the new system will be usable externally, but as it becomes available, I'll share further information in follow-up blog posts.

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  • Partitioning data set in r based on multiple classes of observations

    - by Danny
    I'm trying to partition a data set that I have in R, 2/3 for training and 1/3 for testing. I have one classification variable, and seven numerical variables. Each observation is classified as either A, B, C, or D. For simplicity's sake, let's say that the classification variable, cl, is A for the first 100 observations, B for observations 101 to 200, C till 300, and D till 400. I'm trying to get a partition that has 2/3 of the observations for each of A, B, C, and D (as opposed to simply getting 2/3 of the observations for the entire data set since it will likely not have equal amounts of each classification). When I try to sample from a subset of the data, such as sample(subset(data, cl=='A')), the columns are reordered instead of the rows. To summarize, my goal is to have 67 random observations from each of A, B, C, and D as my training data, and store the remaining 33 observations for each of A, B, C, and D as testing data. I have found a very similar question to mine, but it did not factor in multiple variables. I feel silly asking this question because it seems so simple, but I'm stumped. Also, this is my first question on this site, so I apologize in advance for any faux pas on my part.

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  • Force language change from custom account creation script through url

    - by jax
    I have made a custom 'Account Creation' script so that users can login from my phone application. What I want is to be able to change the responses from the server depending on their locale. So when I request a page I would add lang=en or lang=zh etc. This works http://mysite.com/phone/my_custom_account_creation.php?lang=en Response: <resource classification="error" code="Error (Code: 500)"> <message>Please enter your name:</message> </resource> This does not work: http://mysite.com/phone/my_custom_account_creation.php?lang=zh Response: <resource classification="error" code="Error (Code: 500)"> <message>Please enter your name:</message> </resource> If I go into Joomla at set the default language to chinese, it works. <resource classification="error" code="Error (Code: 500)"> <message>????????</message> </resource> but http://mysite.com/phone/my_custom_account_creation.php?lang=en does not work, instead it continues to show the chinese version. What might I be able to do here?

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  • How do I classify using GLCM and SVM Classifier in Matlab?

    - by Gomathi
    I'm on a project of liver tumor segmentation and classification. I used Region Growing and FCM for liver and tumor segmentation respectively. Then, I used Gray Level Co-occurence matrix for texture feature extraction. I have to use Support Vector Machine for Classification. But I don't know how to normalize the feature vectors. Can anyone tell how to program it in Matlab? To the GLCM program, I gave the tumor segmented image as input. Was I correct? If so, I think, then, my output will also be correct. My glcm coding, as far as I have tried is, I = imread('fzliver3.jpg'); GLCM = graycomatrix(I,'Offset',[2 0;0 2]); stats = graycoprops(GLCM,'all') t1= struct2array(stats) I2 = imread('fzliver4.jpg'); GLCM2 = graycomatrix(I2,'Offset',[2 0;0 2]); stats2 = graycoprops(GLCM2,'all') t2= struct2array(stats2) I3 = imread('fzliver5.jpg'); GLCM3 = graycomatrix(I3,'Offset',[2 0;0 2]); stats3 = graycoprops(GLCM3,'all') t3= struct2array(stats3) t=[t1;t2;t3] xmin = min(t); xmax = max(t); scale = xmax-xmin; tf=(x-xmin)/scale Was this a correct implementation? Also, I get an error at the last line. My output is: stats = Contrast: [0.0510 0.0503] Correlation: [0.9513 0.9519] Energy: [0.8988 0.8988] Homogeneity: [0.9930 0.9935] t1 = Columns 1 through 6 0.0510 0.0503 0.9513 0.9519 0.8988 0.8988 Columns 7 through 8 0.9930 0.9935 stats2 = Contrast: [0.0345 0.0339] Correlation: [0.8223 0.8255] Energy: [0.9616 0.9617] Homogeneity: [0.9957 0.9957] t2 = Columns 1 through 6 0.0345 0.0339 0.8223 0.8255 0.9616 0.9617 Columns 7 through 8 0.9957 0.9957 stats3 = Contrast: [0.0230 0.0246] Correlation: [0.7450 0.7270] Energy: [0.9815 0.9813] Homogeneity: [0.9971 0.9970] t3 = Columns 1 through 6 0.0230 0.0246 0.7450 0.7270 0.9815 0.9813 Columns 7 through 8 0.9971 0.9970 t = Columns 1 through 6 0.0510 0.0503 0.9513 0.9519 0.8988 0.8988 0.0345 0.0339 0.8223 0.8255 0.9616 0.9617 0.0230 0.0246 0.7450 0.7270 0.9815 0.9813 Columns 7 through 8 0.9930 0.9935 0.9957 0.9957 0.9971 0.9970 ??? Error using ==> minus Matrix dimensions must agree. The images are:

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  • JDK bug migration: bugs.sun.com now backed by JIRA

    - by darcy
    The JDK bug migration from a Sun legacy system to JIRA has reached another planned milestone: the data displayed on bugs.sun.com is now backed by JIRA rather than by the legacy system. Besides maintaining the URLs to old bugs, bugs filed since the migration to JIRA are now visible too. The basic information presented about a bug is the same as before, but reformatted and using JIRA terminology: Instead of a "category", a bug now has a "component / subcomponent" classification. As outlined previously, part of the migration effort was reclassifying bugs according to a new classification scheme; I'll write more about the new scheme in a subsequent blog post. Instead of a list of JDK versions a bug is "reported against," there is a list of "affected versions." The names of the JDK versions have largely been regularized; code names like "tiger" and "mantis" have been replaced by the release numbers like "5.0" and "1.4.2". Instead of "release fixed," there are now "Fixed Versions." The legacy system had many fields that could hold a sequence of text entries, including "Description," "Workaround", and "Evaluation." JIRA instead only has two analogous fields labeled as "Description" and a unified stream of "Comments." Nearly coincident with switching to JIRA, we also enabled an agent which automatically updates a JIRA issue in response to pushes into JDK-related Hg repositories. These comments include the changeset URL, the user making the push, and a time stamp. These comments are first added when a fix is pushed to a team integration repository and then added again when the fix is pushed into the master repository for a release. We're still in early days of production usage of JIRA for JDK bug tracking, but the transition to production went smoothly and over 1,000 new issues have already been filed. Many other facets of the migration are still in the works, including hosting new incidents filed at bugs.sun.com in a tailored incidents project in JIRA.

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  • <optgroup> Not working in jQuery Dropdown

    - by Santhosh Kumar
    I have a asp:dropdownlist which i have changed to jQuery multiselect. I have to group the data inside the dropdown. I am grouping this in runtime.If it is a normal asp dropdown its working. When applying jquery Multiselect its dosen't. Source: <link rel="stylesheet" type="text/css" href="Styles/jquery.multiselect.css" /> <link rel="stylesheet" type="text/css" href="Styles/jquery.multiselect.filter.css" /> <link rel="stylesheet" type="text/css" href="Styles/style.css" /> <link rel="stylesheet" type="text/css" href="Styles/prettify.css" /> <%--<script src="Scripts/jquery-1.4.1.min.js" type="text/javascript"></script>--%> <script src="Scripts/jquery-1.4.1.js" type="text/javascript"></script> <link rel="stylesheet" type="text/css" href="http://ajax.googleapis.com/ajax/libs/jqueryui/1/themes/ui-lightness/jquery-ui.css" /> <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1/jquery.js"></script> <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jqueryui/1/jquery-ui.min.js"></script> <script type="text/javascript" src="Scripts/jquery.multiselect.js"></script> <script type="text/javascript" src="Scripts/jquery.multiselect.filter.js"></script> <script type="text/javascript" src="Scripts/prettify.js"></script> <script type="text/javascript"> $(document).ready(function () { //Create groups for dropdown list $("option[classification='LessThanFive']").wrapAll("<optgroup label='Less Than Five' />"); $("option[classification='GreaterThanFive']").wrapAll("<optgroup label='Greater Than five' />"); }); </script> <asp:DropDownList ID="MobileData" runat="server" OnDataBound="ddl_DataBound"> </asp:DropDownList> //Code Behind: protected void ddl_DataBound(object sender, EventArgs e) { foreach (ListItem item in ((DropDownList)sender).Items) { if (System.Int32.Parse(item.Value) < 2) item.Attributes.Add("classification", "LessThanFive"); else item.Attributes.Add("classification", "GreaterThanFive"); } } protected void Page_Load(object sender, EventArgs e) { ListItemCollection list = new ListItemCollection(); list.Add(new ListItem("1", "1")); list.Add(new ListItem("2", "2")); list.Add(new ListItem("3", "3")); list.Add(new ListItem("4", "4")); list.Add(new ListItem("5", "5")); list.Add(new ListItem("6", "6")); list.Add(new ListItem("7", "7")); list.Add(new ListItem("8", "8")); list.Add(new ListItem("9", "9")); list.Add(new ListItem("10", "10")); MobileData.DataSource = list; MobileData.DataBind(); } Where i'm wrong?

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  • How do I classify using SVM Classifier in Matlab?

    - by Gomathi
    I'm on a project of liver tumor segmentation and classification. I used Region Growing and FCM for liver and tumor segmentation respectively. Then, I used Gray Level Co-occurence matrix for texture feature extraction. I have to use Support Vector Machine for Classification. But I don't know how to normalize the feature vectors. Can anyone tell how to program it in Matlab? To the GLCM program, I gave the tumor segmented image as input. Was I correct? If so, I think, then, my output will also be correct. I gave the parameters exactly as in the example provided in the documentation itself. The output I obtained was stats = autoc: [1.857855266614132e+000 1.857955341199538e+000] contr: [5.103143332457753e-002 5.030548650257343e-002] corrm: [9.512661919561399e-001 9.519459060378332e-001] corrp: [9.512661919561385e-001 9.519459060378338e-001] cprom: [7.885631654779597e+001 7.905268525471267e+001] cshad: [1.219440700252286e+001 1.220659371449108e+001] dissi: [2.037387269065756e-002 1.935418927908687e-002] energ: [8.987753042491253e-001 8.988459843719526e-001] entro: [2.759187341212805e-001 2.743152140681436e-001] homom: [9.930016927881388e-001 9.935307908219834e-001] homop: [9.925660617240367e-001 9.930960070222014e-001] maxpr: [9.474275457490587e-001 9.474466930429607e-001] sosvh: [1.847174384255155e+000 1.846913030238459e+000] savgh: [2.332207337361002e+000 2.332108469591401e+000] svarh: [6.311174784234007e+000 6.314794324825067e+000] senth: [2.663144677055123e-001 2.653725436772341e-001] dvarh: [5.103143332457753e-002 5.030548650257344e-002] denth: [7.573115918713391e-002 7.073380266499811e-002] inf1h: [-8.199645492654247e-001 -8.265514568489666e-001] inf2h: [5.643539051044213e-001 5.661543271625117e-001] indnc: [9.980238521073823e-001 9.981394883569174e-001] idmnc: [9.993275086521848e-001 9.993404634013308e-001] The thing is, I run the program for three images. But all three gave me the same output. When I used graycoprops() stat = Contrast: 4.721877658740964e+005 Correlation: -3.282870417955449e-003 Energy: 8.647689474127760e-006 Homogeneity: 8.194621855726478e-003 stat = Contrast: 2.817160447307697e+004 Correlation: 2.113032196952781e-005 Energy: 4.124904827799189e-004 Homogeneity: 2.513567163994905e-002 stat = Contrast: 7.086638436309059e+004 Correlation: 2.459637878221028e-002 Energy: 4.640677159445994e-004 Homogeneity: 1.158305728309460e-002 The images are:

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  • Bayesian content filter for vbulletin [on hold]

    - by mc0e
    I've been tasked with coming up with a tool to automatically flag some posts for moderator attention on a large vbulletin forum. It's not spam per se, but the task has a lot in common with the sort of handling that might be done by a spam protection plugin (a mod in vbulletin speak). There's only so much I can say, but the task does not involve bad users, so much as particular kinds of posts which the moderators need to be aware of. Filtering out user registrations and links is therefore not useful, and we are talking about posts by real human users. What I'm looking for is an existing bayesian classification plugin, or something that I can study to get an understanding of how to do the vbulletin side of the interface in order to build such a thing. Ie I'd need ways for moderators to list flagged posts, and to correct the classification of posts which have been mis-classified. Ideally I want a 3 way split with an "unsure" category in order to reduce what has to be reviewed to find any mis-classifications. Any pointers? I've searched around a bit, and so far what I've found has been more or less entirely targetted at intervening in sign-ups (mostly using stopforumspam), captchas, and use of external services like akismet which are spam specific. I'm also considering an external solution, which might be ableto be interfaced i

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  • The way I think about Diagnostic tools

    - by Daniel Moth
    Every software has issues, or as we like to call them "bugs". That is not a discussion point, just a mere fact. It follows that an important skill for developers is to be able to diagnose issues in their code. Of course we need to advance our tools and techniques so we can prevent bugs getting into the code (e.g. unit testing), but beyond designing great software, diagnosing bugs is an equally important skill. To diagnose issues, the most important assets are good techniques, skill, experience, and maybe talent. What also helps is having good diagnostic tools and what helps further is knowing all the features that they offer and how to use them. The following classification is how I like to think of diagnostics. Note that like with any attempt to bucketize anything, you run into overlapping areas and blurry lines. Nevertheless, I will continue sharing my generalizations ;-) It is important to identify at the outset if you are dealing with a performance or a correctness issue. If you have a performance issue, use a profiler. I hear people saying "I am using the debugger to debug a performance issue", and that is fine, but do know that a dedicated profiler is the tool for that job. Just because you don't need them all the time and typically they cost more plus you are not as familiar with them as you are with the debugger, doesn't mean you shouldn't invest in one and instead try to exclusively use the wrong tool for the job. Visual Studio has a profiler and a concurrency visualizer (for profiling multi-threaded apps). If you have a correctness issue, then you have several options - that's next :-) This is how I think of identifying a correctness issue Do you want a tool to find the issue for you at design time? The compiler is such a tool - it gives you an exact list of errors. Compilers now also offer warnings, which is their way of saying "this may be an error, but I am not smart enough to know for sure". There are also static analysis tools, which go a step further than the compiler in identifying issues in your code, sometimes with the aid of code annotations and other times just by pointing them at your raw source. An example is FxCop and much more in Visual Studio 11 Code Analysis. Do you want a tool to find the issue for you with code execution? Just like static tools, there are also dynamic analysis tools that instead of statically analyzing your code, they analyze what your code does dynamically at runtime. Whether you have to setup some unit tests to invoke your code at runtime, or have to manually run your app (and interact with it) under the tool, or have to use a script to execute your binary under the tool… that varies. The result is still a list of issues for you to address after the analysis is complete or a pause of the execution when the first issue is encountered. If a code path was not taken, no analysis for it will exist, obviously. An example is the GPU Race detection tool that I'll be talking about on the C++ AMP team blog. Another example is the MSR concurrency CHESS tool. Do you want you to find the issue at design time using a tool? Perform a code walkthrough on your own or with colleagues. There are code review tools that go beyond just diffing sources, and they help you with that aspect too. For example, there is a new one in Visual Studio 11 and searching with my favorite search engine yielded this article based on the Developer Preview. Do you want you to find the issue with code execution? Use a debugger - let’s break this down further next. This is how I think of debugging: There is post mortem debugging. That means your code has executed and you did something in order to examine what happened during its execution. This can vary from manual printf and other tracing statements to trace events (e.g. ETW) to taking dumps. In all cases, you are left with some artifact that you examine after the fact (after code execution) to discern what took place hoping it will help you find the bug. Learn how to debug dump files in Visual Studio. There is live debugging. I will elaborate on this in a separate post, but this is where you inspect the state of your program during its execution, and try to find what the problem is. More from me in a separate post on live debugging. There is a hybrid of live plus post-mortem debugging. This is for example what tools like IntelliTrace offer. If you are a tools vendor interested in the diagnostics space, it helps to understand where in the above classification your tool excels, where its primary strength is, so you can market it as such. Then it helps to see which of the other areas above your tool touches on, and how you can make it even better there. Finally, see what areas your tool doesn't help at all with, and evaluate whether it should or continue to stay clear. Even though the classification helps us think about this space, the reality is that the best tools are either extremely excellent in only one of this areas, or more often very good across a number of them. Another approach is to offer a toolset covering all areas, with appropriate integration and hand off points from one to the other. Anyway, with that brain dump out of the way, in follow-up posts I will dive into live debugging, and specifically live debugging in Visual Studio - stay tuned if that interests you. Comments about this post by Daniel Moth welcome at the original blog.

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  • SQL SERVER – Simple Example to Configure Resource Governor – Introduction to Resource Governor

    - by pinaldave
    Let us jump right away with question and answer mode. What is resource governor? Resource Governor is a feature which can manage SQL Server Workload and System Resource Consumption. We can limit the amount of CPU and memory consumption by limiting /governing /throttling on the SQL Server. Why is resource governor required? If there are different workloads running on SQL Server and each of the workload needs different resources or when workloads are competing for resources with each other and affecting the performance of the whole server resource governor is a very important task. What will be the real world example of need of resource governor? Here are two simple scenarios where the resource governor can be very useful. Scenario 1: A server which is running OLTP workload and various resource intensive reports on the same server. The ideal situation is where there are two servers which are data synced with each other and one server runs OLTP transactions and the second server runs all the resource intensive reports. However, not everybody has the luxury to set up this kind of environment. In case of the situation where reports and OLTP transactions are running on the same server, limiting the resources to the reporting workload it can be ensured that OTLP’s critical transaction is not throttled. Scenario 2: There are two DBAs in one organization. One DBA A runs critical queries for business and another DBA B is doing maintenance of the database. At any point in time the DBA A’s work should not be affected but at the same time DBA B should be allowed to work as well. The ideal situation is that when DBA B starts working he get some resources but he can’t get more than defined resources. Does SQL Server have any default resource governor component? Yes, SQL Server have two by default created resource governor component. 1) Internal –This is used by database engine exclusives and user have no control. 2) Default – This is used by all the workloads which are not assigned to any other group. What are the major components of the resource governor? Resource Pools Workload Groups Classification In simple words here is what the process of resource governor is. Create resource pool Create a workload group Create classification function based on the criteria specified Enable Resource Governor with classification function Let me further explain you the same with graphical image. Is it possible to configure resource governor with T-SQL? Yes, here is the code for it with explanation in between. Step 0: Here we are assuming that there are separate login accounts for Reporting server and OLTP server. /*----------------------------------------------- Step 0: (Optional and for Demo Purpose) Create Two User Logins 1) ReportUser, 2) PrimaryUser Use ReportUser login for Reports workload Use PrimaryUser login for OLTP workload -----------------------------------------------*/ Step 1: Creating Resource Pool We are creating two resource pools. 1) Report Server and 2) Primary OLTP Server. We are giving only a few resources to the Report Server Pool as described in the scenario 1 the other server is mission critical and not the report server. ----------------------------------------------- -- Step 1: Create Resource Pool ----------------------------------------------- -- Creating Resource Pool for Report Server CREATE RESOURCE POOL ReportServerPool WITH ( MIN_CPU_PERCENT=0, MAX_CPU_PERCENT=30, MIN_MEMORY_PERCENT=0, MAX_MEMORY_PERCENT=30) GO -- Creating Resource Pool for OLTP Primary Server CREATE RESOURCE POOL PrimaryServerPool WITH ( MIN_CPU_PERCENT=50, MAX_CPU_PERCENT=100, MIN_MEMORY_PERCENT=50, MAX_MEMORY_PERCENT=100) GO Step 2: Creating Workload Group We are creating two workloads each mapping to each of the resource pool which we have just created. ----------------------------------------------- -- Step 2: Create Workload Group ----------------------------------------------- -- Creating Workload Group for Report Server CREATE WORKLOAD GROUP ReportServerGroup USING ReportServerPool ; GO -- Creating Workload Group for OLTP Primary Server CREATE WORKLOAD GROUP PrimaryServerGroup USING PrimaryServerPool ; GO Step 3: Creating user defiled function which routes the workload to the appropriate workload group. In this example we are checking SUSER_NAME() and making the decision of Workgroup selection. We can use other functions such as HOST_NAME(), APP_NAME(), IS_MEMBER() etc. ----------------------------------------------- -- Step 3: Create UDF to Route Workload Group ----------------------------------------------- CREATE FUNCTION dbo.UDFClassifier() RETURNS SYSNAME WITH SCHEMABINDING AS BEGIN DECLARE @WorkloadGroup AS SYSNAME IF(SUSER_NAME() = 'ReportUser') SET @WorkloadGroup = 'ReportServerGroup' ELSE IF (SUSER_NAME() = 'PrimaryServerPool') SET @WorkloadGroup = 'PrimaryServerGroup' ELSE SET @WorkloadGroup = 'default' RETURN @WorkloadGroup END GO Step 4: In this final step we enable the resource governor with the classifier function created in earlier step 3. ----------------------------------------------- -- Step 4: Enable Resource Governer -- with UDFClassifier ----------------------------------------------- ALTER RESOURCE GOVERNOR WITH (CLASSIFIER_FUNCTION=dbo.UDFClassifier); GO ALTER RESOURCE GOVERNOR RECONFIGURE GO Step 5: If you are following this demo and want to clean up your example, you should run following script. Running them will disable your resource governor as well delete all the objects created so far. ----------------------------------------------- -- Step 5: Clean Up -- Run only if you want to clean up everything ----------------------------------------------- ALTER RESOURCE GOVERNOR WITH (CLASSIFIER_FUNCTION = NULL) GO ALTER RESOURCE GOVERNOR DISABLE GO DROP FUNCTION dbo.UDFClassifier GO DROP WORKLOAD GROUP ReportServerGroup GO DROP WORKLOAD GROUP PrimaryServerGroup GO DROP RESOURCE POOL ReportServerPool GO DROP RESOURCE POOL PrimaryServerPool GO ALTER RESOURCE GOVERNOR RECONFIGURE GO I hope this introductory example give enough light on the subject of Resource Governor. In future posts we will take this same example and learn a few more details. 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: Resource Governor

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  • IRM Item Codes &ndash; what are they for?

    - by martin.abrahams
    A number of colleagues have been asking about IRM item codes recently – what are they for, when are they useful, how can you control them to meet some customer requirements? This is quite a big topic, but this article provides a few answers. An item code is part of the metadata of every sealed document – unless you define a custom metadata model. The item code is defined when a file is sealed, and usually defaults to a timestamp/filename combination. This time/name combo tends to make item codes unique for each new document, but actually item codes are not necessarily unique, as will become clear shortly. In most scenarios, item codes are not relevant to the evaluation of a user’s rights - the context name is the critical piece of metadata, as a user typically has a role that grants access to an entire classification of information regardless of item code. This is key to the simplicity and manageability of the Oracle IRM solution. Item codes are occasionally exposed to users in the UI, but most users probably never notice and never care. Nevertheless, here is one example of where you can see an item code – when you hover the mouse pointer over a sealed file. As you see, the item code for this freshly created file combines a timestamp with the file name. But what are item codes for? The first benefit of item codes is that they enable you to manage exceptions to the policy defined for a context. Thus, I might have access to all oracle – internal files - except for 2011_03_11 13:33:29 Board Minutes.sdocx. This simple mechanism enables Oracle IRM to provide file-by-file control where appropriate, whilst offering the scalability and manageability of classification-based control for the majority of users and content. You really don’t want to be managing each file individually, but never say never. Item codes can also be used for the opposite effect – to include a file in a user’s rights when their role would ordinarily deny access. So, you can assign a role that allows access only to specified item codes. For example, my role might say that I have access to precisely one file – the one shown above. So how are item codes set? In the vast majority of scenarios, item codes are set automatically as part of the sealing process. The sealing API uses the timestamp and filename as shown, and the user need not even realise that this has happened. This automatically creates item codes that are for all practical purposes unique - and that are also intelligible to users who might want to refer to them when viewing or assigning rights in the management UI. It is also possible for suitably authorised users and applications to set the item code manually or programmatically if required. Setting the item code manually using the IRM Desktop The manual process is a simple extension of the sealing task. An authorised user can select the Advanced… sealing option, and will see a dialog that offers the option to specify the item code. To see this option, the user’s role needs the Set Item Code right – you don’t want most users to give any thought at all to item codes, so by default the option is hidden. Setting the item code programmatically A more common scenario is that an application controls the item code programmatically. For example, a document management system that seals documents as part of a workflow might set the item code to match the document’s unique identifier in its repository. This offers the option to tie IRM rights evaluation directly to the security model defined in the document management system. Again, the sealing application needs to be authorised to Set Item Code. The Payslip Scenario To give a concrete example of how item codes might be used in a real world scenario, consider a Human Resources workflow such as a payslips. The goal might be to allow the HR team to have access to all payslips, but each employee to have access only to their own payslips. To enable this, you might have an IRM classification called Payslips. The HR team have a role in the normal way that allows access to all payslips. However, each employee would have an Item Reader role that only allows them to access files that have a particular item code – and that item code might match the employee’s payroll number. So, employee number 123123123 would have access to items with that code. This shows why item codes are not necessarily unique – you can deliberately set the same code on many files for ease of administration. The employees might have the right to unseal or print their payslip, so the solution acts as a secure delivery mechanism that allows payslips to be distributed via corporate email without any fear that they might be accessed by IT administrators, or forwarded accidentally to anyone other than the intended recipient. All that remains is to ensure that as each user’s payslip is sealed, it is assigned the correct item code – something that is easily managed by a simple IRM sealing application. Each month, an employee’s payslip is sealed with the same item code, so you do not need to keep amending the list of items that the user has access to – they have access to all documents that carry their employee code.

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  • Hashing words to numbers with respect to definition

    - by thornate
    As part of a larger project, I need to read in text and represent each word as a number. For example, if the program reads in "Every good boy deserves fruit", then I would get a table that converts 'every' to '1742', 'good' to '977513', etc. Now, obviously I can just use a hashing algorithm to get these numbers. However, it would be more useful if words with similar meanings had numerical values close to each other, so that 'good' becomes '6827' and 'great' becomes '6835', etc. As another option, instead of a simple integer representing each number, it would be even better to have a vector made up of multiple numbers, eg (lexical_category, tense, classification, specific_word) where lexical_category is noun/verb/adjective/etc, tense is future/past/present, classification defines a wide set of general topics and specific_word is much the same as described in the previous paragraph. Does any such an algorithm exist? If not, can you give me any tips on how to get started on developing one myself? I code in C++.

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  • naive bayesian spam filter question

    - by Microkernel
    Hi guys, I am planning to implement spam filter using Naive Bayesian classification model. Online I see a lot of info on Naive Bayesian classification, but the problem is its a lot of mathematical stuff, than clearly stating how its done. And the problem is I am more of a programmer than a mathematician (yes I had learnt Probability and Bayesian theorem back in school, but out of touch for a long long time, and I don't have luxury of learning it now (Have nearly 3 weeks to come-up with a working prototype)). So if someone can explain or point me to location where its explained for programmers than a mathematician, it would be a great help. PS: By the way I have to implement it in C, if you want to know. :( Regards, Microkernel

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  • Transform data in FMPXMLRESULT grammar into a "Content Standard for Digital Geospatial Metadata (CS

    - by Andrew Igbo
    I have a problem in FileMaker; I wish to link the METADATA element/FIELD element “NAME” attribute to its corresponding data in the RESULTSET element/COL element. However, I also wish to map the METADATA element/FIELD element “NAME” to "Content Standard for Digital Geospatial Metadata (CSDGM)" metadata elements Sample XML Metadata Record with CSDGM Essential Elements Louisiana State University Coastal Studies Institute 20010907 Geomorphology and Processes of Land Loss in Coastal Louisiana, 1932 – 1990 A raster GIS file that identifies the land loss process and geomorphology associated with each 12.5 meter pixel of land loss between 1932 and 1990. Land loss processes are organized into a hierarchical classification system that includes subclasses for erosion, submergence, direct removal, and undetermined. Land loss geomorphology is organized into a hierarchical classification system that includes subclasses for both shoreline and interior loss. The objective of the study was to determine the land loss geomorphologies associated with specific processes of land loss in coastal Louisiana.

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  • Mapping words to numbers with respect to definition

    - by thornate
    As part of a larger project, I need to read in text and represent each word as a number. For example, if the program reads in "Every good boy deserves fruit", then I would get a table that converts 'every' to '1742', 'good' to '977513', etc. Now, obviously I can just use a hashing algorithm to get these numbers. However, it would be more useful if words with similar meanings had numerical values close to each other, so that 'good' becomes '6827' and 'great' becomes '6835', etc. As another option, instead of a simple integer representing each number, it would be even better to have a vector made up of multiple numbers, eg (lexical_category, tense, classification, specific_word) where lexical_category is noun/verb/adjective/etc, tense is future/past/present, classification defines a wide set of general topics and specific_word is much the same as described in the previous paragraph. Does any such an algorithm exist? If not, can you give me any tips on how to get started on developing one myself? I code in C++.

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