Built something? We create video reels & spotlights for GitHub projects.Promote your project →
Home / Developers / VanceKingSaxbeA
Developer Profile

VanceKingSaxbeA

Discovered public repositories for VanceKingSaxbeA in the GitHub catalog.

↗

VanceKingSaxbeA/GoldSax-DSL-RetailChain

This is a Domain Specific language in Haskell for Retail Domain . Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/GoldSax-DSL-Finance

This is a Domain Specific language in Groovy for Financial Domain - Investment Banking. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/GoldSessionBean-J2EE7

A shopping cart built using the session facade pattern and a test client. Ideal for J2EE developers to reuse the source code. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. A Prolog A.I System with U.I to get user information, form a knowledge base and act as an Inference engine for knowledge specific logical queries. Written in Prolog, this is generic and customizable in any domain.

↗

VanceKingSaxbeA/GoldSaxMachineStore

Parallelized code to run on multiple processors or distributed across a network. domain-specific language for retail/supply chain specific problem domains. Haskell-backed website using database and web-application libraries such as Persistent, Esqueleto, and Scotty building of a web-based storefront.the Haskell ecosystem and supporting tools. These include the Cabal build tool for managing projects and modules, the HUnit and QuickCheck tools for software testing, the Scotty framework for developing web applications, Persistent and Esqueleto for database access, and also parallel and distributed programming libraries. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. A Complex Event Processing Engine applicable for any functional domain. Used in conjunction with GoldPatterns for pattern detection and the Decision Engine makes it a true expert engine. Ideal for Policy decision making for Corporates, Governments and the like. The GoldDSL-(domainname) package in conjuction with the expert system helps the domain expert raise queries, write rules and constraints in the natural language.

↗

VanceKingSaxbeA/GoldSaxExpertEngine

An Expert System Written in prolog with a knowledge builder, Forward/Backward chaining, and inference engine. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. A Complex Event Processing Engine applicable for any functional domain. Used in conjunction with GoldPatterns for pattern detection and the Decision Engine makes it a true expert engine. Ideal for Policy decision making for Corporates, Governments and the like. The GoldDSL-(domainname) package in conjuction with the expert system helps the domain expert raise queries, write rules and constraints in the natural language.

↗

VanceKingSaxbeA/GoldSaxInferenceEngine

Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. A Prolog A.I System with U.I to get user information, form a knowledge base and act as an Inference engine for knowledge specific logical queries. Written in Prolog, this is generic and customizable in any domain.

↗

VanceKingSaxbeA/GoldSax-SOA-Jbpm

Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. This is a SOA for a generic enterprise application in JPDL over JBPM. Container JBOSS AS or JBOSS EAP. T he JBoss Business Process Manager (jBPM) is a flexible and extensible scaffolding for process languages. T he jBPM Process Definition Language (JPDL) is one of the process languages that is built on top of this framework. It is an intuitive language, designed to enable the user to express business processes graphically. It does so by representing tasks, wait states (for asynchronous communication), timers and automated actions. T o bind these operations together, the language has a powerful and extensible control flow mechanism. T he JPDL has few dependencies, making it is as easy to install as a Java library. deploy it on a J2EE clustered application server. One will find it particularly useful in environments in which extreme throughput is a crucial requirement.

↗

VanceKingSaxbeA/GoldSax-FiscalPolicy-ITProgram

Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. Decision Making for the Fiscal Policy making in developmen of an Income tax programme. Written in Prolog, is a decision engine toarrive at a feasible fisal policy.

↗

VanceKingSaxbeA/GoldCipherXOR

Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. The XOR operator is extremely common as a component in more complex ciphers. By itself, using a constant repeating key, a simple XOR cipher can trivially be broken using frequency analysis. If the content of any message can be guessed or otherwise known then the key can be revealed. Its primary merit is that it is simple to implement, and that the XOR operation is computationally inexpensive. A simple repeating XOR cipher is therefore sometimes used for hiding information in cases where no particular security is required. If the key is random and is at least as long as the message, the XOR cipher is much more secure than when there is key repetition within a message.[3] When the keystream is generated by a pseudo-random number generator, the result is a stream cipher. With a key that is truly random, the result is a one-time pad, which is unbreakable even in theory.

↗

VanceKingSaxbeA/MakeMovie

to make Audio Video Interleaved (AVI) movies The resulting movies can be played independently of MATLAB and on a PC, there are Windows Media Player or QuickTime.

↗

VanceKingSaxbeA/GoldSaxCombinatoric

C++ library which includes routines for ranking, unranking, enumerating and randomly selecting balanced sequences, cycles, graphs, Gray codes, subsets, partitions, permutations, restricted growth functions, Pruefer codes and trees

↗

VanceKingSaxbeA/GoldSaxSDE

Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com.. C++ library which illustrates the properties of stochastic differential equations and some algorithms for handling them, making graphics files for processing and display by gnuplot.

↗

VanceKingSaxbeA/GoldSaxSets

C++ library which implements some of the operations of set theory. more will be added. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/GoldRKF45ODESolve

Runge-Kutta-Fehlberg algorithm for solving an ordinary differential equation. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/GoldSaxFFTParellel

C++ program which is the computation of a Fast Fourier Transform in parallel, using OpenMP. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/GoldSaxAnagra

C++ program which takes a string of letters and tries to produce as many anagrams possible. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/GoldSaxClusterMCMC

Markov Chain Monte Carlo (MCMC) method to cluster N samples of M dimensional data X into approximately K clusters. procedure is iterative, and uses the means and covariances of the current clusters to improve the cluster distributions.

↗

VanceKingSaxbeA/GoldSaxBisectKMClustering

Bisecting k-means starts with all the points in one cluster and then splits the clusters using k-means with a k of 2. In the next iteration, the cluster with the largest error is chosen to be split. This process is repeated until k clusters have been created. Bisecting k-means creates better clusters than k-means. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/GoldSaxKmeansClustering

Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. Clustering is a technique used in unsupervised learning. With unsupervised learning you don’t know what you’re looking for, that is, there are no target variables. Clustering groups data points together, with similar data points in one cluster and dissimilar points in a different group. A number of different measurements can be used to measure similarity. One widely used clustering algorithm is k-means, where k is a user-specified number of clusters to create. The k-means clustering algorithm starts with k-random cluster centers known as centroids. Next, the algorithm computes the distance from every point to the cluster centers. Each point is assigned to the closest cluster center. The cluster centers are then recalculated based on the new points in the cluster. This process is repeated until the cluster centers no longer move. This simple algorithm is quite effective but is sensitive to the initial cluster placement.

↗

VanceKingSaxbeA/GoldSaxCARTDecision

Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. Oftentimes your data contains complex interactions that lead to nonlinear relationships between the input data and the target variables. One method to model these complex relationships is to use a tree to break up the predicted value into piecewise constant segments or piecewise linear segments. A tree structure modeling the data with piecewise constant segments is known as a regression tree. When the models are linear regression equations, the tree is known as a model tree. The CART algorithm builds binary trees and can handle discrete as well as continuous split values. Model trees and regression trees can be built with the CART algorithm as long as you use the right error measurements. When building a tree, there’s a tendency for the tree-building algorithm to build the tree too closely to the data, resulting in an overfit model. An overfit tree is often more complex that it needs to be. To make the tree less complex, a process of pruning is applied to the tree. Two methods of pruning are prepruning, which prunes the tree as it’s being built, and postpruning, Figure 9.9 The treeExplore GUI building a model tree over the same data and same settings as figure 9.7. The model tree does a better job of forecasting the data than the regression tree. Download from Wow! eBook <www.wowebook.com> 204 CHAPTER 9 Tree-based regression which prunes the tree after it’s built. Prepruning is more effective but requires userdefined parameters. Tkinter is a GUI toolkit for Python. It’s not the only one, but it’s the most commonly used. Tkinter allows you to build widgets and arrange those widgets. You can make a special widget for Tkinter that allows you to display Matplotlib plots. The integration of Matplotlib and Tkinter allows you to build powerful GUIs where people can explore machine learning algorithms in a more natural way.

↗

VanceKingSaxbeA/GoldSaxID3Decision

Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. A decision tree classifier is just like a work-flow diagram with the terminating blocks representing classification decisions. Starting with a dataset, you can measure the inconsistency of a set or the entropy to find a way to split the set until all the data belongs to the same class. The ID3 algorithm can split nominal-valued datasets. Recursion is used in tree-building algorithms to turn a dataset into a decision tree. The tree is easily represented in a Python dictionary rather than a special data structure. Cleverly applying Matplotlib’s annotations, you can turn our tree data into an easily understood chart. The Python Pickle module can be used for persisting our tree.

↗

VanceKingSaxbeA/GoldSaxHDPlayer

Multimedia HD Player which can receive from GoldSax-BroadCastingServer(restreamed) from GoldSax-BCClient. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/GoldSax-BroadCastingClient

Multimedia HD Broadcasting Client which can send HD264 Multiplexed Media to GoldSax-BroadCastingServer(to restream) to GoldSax-HDPlayer. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/GoldSax-BroadCastingServer

Multimedia HD Broadcasting Server which can receive from GoldSax-BroadCastingClient(to restream) to GoldSax-HDPlayer. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/GoldSaxAdaBoost

Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. By Ensemble methods, Combining multiple classifiers exploits the shortcomings of single classifiers, such as overfitting. Combining multiple classifiers help, as long as the classifiers are significantly different from each other. This difference is in the algorithm or in the data applied to that algorithm. The two types of ensemble methods bagging and boosting. In bagging, datasets the same size as the original dataset are built by randomly sampling examples for the dataset with replacement. Boosting takes the idea of bagging a step further by applying a different classifier sequentially to a dataset. AdaBoost uses a weak learner as the base classifier with the input data weighted by a weight vector. In the first iteration the data is equally weighted. But in subsequent iterations the data is weighted more strongly if it was incorrectly classified previously. This adapting to the errors is the strength of AdaBoost. We built functions to create a classifier using AdaBoost and the weak learner, decision stumps. The AdaBoost functions can be applied to any classifier, as long as the classifier can deal with weighted data. The AdaBoost algorithm is powerful, and it quickly handled datasets that were difficult using other classifiers. The classification imbalance problem is training a classifier with data that doesn’t have an equal number of positive and negative examples. The problem also exists when the costs for misclassification are different from positive and negative examples. We looked at ROC curves as a way to evaluate different classifiers. We use precision and recall as metrics to measure the performance classifiers when classification of one class is more important than classification of the other class. We use oversampling and undersampling as ways to adjust the positive and negative examples in a dataset.dealing with classifiers with unbalanced objectives. This method takes the costs of misclassification into account when training a classifier.

↗

VanceKingSaxbeA/GoldSVM

Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. Support vector machines maximize margin by solving a quadratic optimization problem. Kernel methods, or the kernel trick, map data (nonlinear data) from a low-dimensional space to a high-dimensional space. In a higher dimension, you can solve a linear problem that’s nonlinear in lower-dimensional space. Kernel methods are used in other algorithms than just SVM. The radial-bias function is a popular kernel that measures the distance between two vectors. Support vector machines are a binary classifier and additional methods are extended to classification of classes greater than two. The performance of an SVM is also sensitive to optimization parameters and parameters of the kernel used.

↗

VanceKingSaxbeA/GoldSaxLogReg

Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. Logistic regression finding best-fit parameters to a nonlinear function called the sigmoid. Methods of optimization are used to find the best-fit parameters using gradient ascent. Gradient ascent is simplified with stochastic gradient ascent. Stochastic gradient ascent does well as gradient ascent using far fewer computing resources.

↗

VanceKingSaxbeA/GoldSaxBayesClassify

use naïve Bayes on some real-life problems, email spam filtering. parse text into tokens, function that ties together the parsing and the classification. This will also test the classifier and give us an error rate. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/AutoSyncGIT

A shell script to auto sync your development machine repo to remote GIT. download the basch script and place it in your git root directory. in command line run >> SetupSyncGIT username password. Then add AutoSyncGit to Crons. It will sync automatically.

↗

VanceKingSaxbeA/ITArchitecture

Architecture for enterprise systems using o Architecture: TOGAF, DODAF, MODAF, Zachmann, OMG. o Project Management: PMBOK, PRINCE II, ITABOK, RUP. o Standards & Compliance: IEEE, ANSI, ISO, CMMI, OSI. o Governance: COBIT 5, ITIL. . Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.. Tools used, framworks, development environment can be any one or in combination of the following exclusively.......... Architecture: Archi, Enterprise Architect 9, IBM Rational Suite, IBM Rhapsody suite, Oscarina.  Project Management: IBM Rational Focal Point, Portfolio Manager, Rational requisite PRO, Integrations to Rational Suite, Primvera EPPM, Daptiv PPM, ChangePoint PPM, Microsoft PPM.  Continuous Integration/Built/: Hudson, Jenkins, Git, SVN, Maven, Ant.  Active Code Generation: Xdoclet, A.Velocity, codesmithtools, Acceleo, Accelerator, actifsource, Agile Platform, any<code/>, Appsroller Web Form Generator,AtomWeaver, C++ Middleware Writer, Click2Code for windows, CodeFluent Entities, CodeGenerator360, CodeOnTime, DMS Software Reengineering Toolkit, GenerateXY, GNU AutoGen, Iron Speed Designer, LayerCake Generator, Microsoft Visual Studio LightSwitch, NoORM, OMS.Ice – T4 Text Template Generator, PHPRunner, Radarc, Spring Roo, TLGen, Umple, Wickedfast Solutions, LLC, Xomega.Net for Visual Studio, Apache Isis, Jostraca, Code4Green, Cog, XDocLet, Umple, JCodeBox, M-Power, NoORM, OpenMDX, TLGen  Parallel/Concurrent Programming: IBM XL C/C++(MAAS, VSX, VMX), GOMP – OpenMP, OpenCL, CUDA, Graphlab 2.1.  Expert Engines/C.E.P/A.I/W.F/BPMS: JBPM 5, Drools 4.0, Drools Fusion, IBM - ilog (CPLEX, BRMS), Esper Engine/IO4.9 (Java), ETALIS, Triceps CEP 1.0, Oracle C.E.P.  Development Environment & Packages: - Eclipse IDE, NetBeans IDE, SwishMax4, Flash Develop 4.0.4, FLEX 4.6, Flash builder 4.5 Premium, JGrasp , sonar, jenkins, YUI, jmeter, selenium, robotium, Hudson  (Mathematical/Statistical Modeling/Machine Learning/Image Processing/DSP): R, R-Studio 2.15.1, AUTOCAD 2010, MATLAB R2012a & b(SIMULINK) , GNU Octave 3.2.4, OpenCV, OpenMAX DL API, SciKit, Pybrain, CGAL, OPENCV, JAVACV, EMGUCV, VLFEAT, GraphicsMajik, LibCCV, Darwin.  DotNet Framework: Visual Studio 2010 Ultimate(VC#.NET, VC++.NET, ASP.NET, ADO.NET, VB.NET, WPF, WCF, MVVM, , Silverlight 3, Windows Forms, libs, Linq, dlls), Spring.NET.  Java/J2EE/ Framework: Spring, Hibernate, struts, JSF, JPA, JMS, JNDI, JCA, JNI, JTA, JAX-RPC, Java Rules Engine API, EclipseLink, Roo, Play, Grails, Lift, MVC.  Python packages/ Frameworks: Scipy, Numpy, Cpy, Jpy, Django, pybrain, pyramid, pylons. Buildout, CherryPy, Paste, Plone, TurboGears, ZODB, Zope3, twisted, tornado.  PHP Frameworks: Cakephp / Symphony / Zend framework / CodeIgniter.  RDBMS/ODBMS: MySql 5.5.20 , Microsoft SQL Server 2008, Sqlite 3, Postgresql 9.1, Oracle DB 11.2 0, SybaseASE12.5, NoSQL( MongoDB, Memcache ,Redis, SimpleDB, Cassandra, Cascading), Neo4J, HyperGraphDb, Titan. .  SPOS - Android 4.1, Elementary - - IOS 3GS++, Windows Phone 7, BlackBerry 6.0++, Palm, Web OS, Symbain, Bada, Edgelib. Framework: Cordova, Sencha, IBM Worklight.  Messaging/Logging/Web Services-Web2.0 – Apache CXF, WEBAPI (SOAP, REST) , JSON, XML, JAX-RPC, Active MQ – Fuse/Apollo, Websphere Message Broker, JMS, Oracle Message Broker, Log4j, A-Commons.  Big Data, Distributed Computing, Cloud & Virtualization: - Amazon (AWS)-EC2, S3, RD, ELB, o Openstack Esex/Folstom (Swift, Nova, Compute, Glance, RabbitMQ, knife, Chef, ), o Cloud Stack. o Eucalyptus o OpenNebula. o Solr, Lucne, Nutch, Camel, o Apache Hadoop Framework:- Yarn, MapReduce, Avro, Cassandra, Chukwa, HBase, Hive, Mahout, Pig, ZooKeeper.  Containers /Servers/Sockets:, Apache Tomcat 2.2 , JBoss EAP 7, IBM Websphere 4.0, Weblogic 11, Custom HTTPD Server, Glassfish, LAMP 2.2, WAMP 2.2, ((HTTPS, Load Balancing with Mod – jk )).  Clustering: JBOSS OSGI, Mysql, Mod-JK.  Hypervisor: Linux KVM, ESX.  Natural Language Processing: Stanford & MIT’s Python Packages of (NLTK, Divisi2, Luminoso 1.3.3, Montylingua, Open Mind Common Sense, Conceptnet 4.0.1), Open NLP, and Various.  U.I/Games/Graphics: Ogre3D, panda 3D, Delta 3D, Unity 3D,, Open GL, Direct X 11, Starling, Irrlicht Engine, o JavaScript Frameworks: Node.JS, EXT.Js, Backbone.Js, Knockout.Js, HTML5, AJAX, Jquery, GWT, Sench GXT.  Infrastructure/Products: o Cisco: Datacentre, Networking, Blade Switches, Video Conferencing, Collaboration. o Oracle:SPARC M6 – 32. o IBM: IBM EC12, IBM Power 795, IBM Blade Servers, IBM Pure flex Systems, Smart Cities, I2 Suite, BI suite.

↗

VanceKingSaxbeA/SolutionArchitecture

Solution Architecture for current industrial problems and cases using o Architecture: TOGAF, DODAF, MODAF, Zachmann, OMG. o Project Management: PMBOK, PRINCE II, ITABOK, RUP. o Standards & Compliance: IEEE, ANSI, ISO, CMMI, OSI. o Governance: COBIT 5, ITIL. . Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.. Tools used, framworks, development environment can be any one or in combination of the following exclusively.......... Architecture: Archi, Enterprise Architect 9, IBM Rational Suite, IBM Rhapsody suite, Oscarina.  Project Management: IBM Rational Focal Point, Portfolio Manager, Rational requisite PRO, Integrations to Rational Suite, Primvera EPPM, Daptiv PPM, ChangePoint PPM, Microsoft PPM.  Continuous Integration/Built/: Hudson, Jenkins, Git, SVN, Maven, Ant.  Active Code Generation: Xdoclet, A.Velocity, codesmithtools, Acceleo, Accelerator, actifsource, Agile Platform, any<code/>, Appsroller Web Form Generator,AtomWeaver, C++ Middleware Writer, Click2Code for windows, CodeFluent Entities, CodeGenerator360, CodeOnTime, DMS Software Reengineering Toolkit, GenerateXY, GNU AutoGen, Iron Speed Designer, LayerCake Generator, Microsoft Visual Studio LightSwitch, NoORM, OMS.Ice – T4 Text Template Generator, PHPRunner, Radarc, Spring Roo, TLGen, Umple, Wickedfast Solutions, LLC, Xomega.Net for Visual Studio, Apache Isis, Jostraca, Code4Green, Cog, XDocLet, Umple, JCodeBox, M-Power, NoORM, OpenMDX, TLGen  Parallel/Concurrent Programming: IBM XL C/C++(MAAS, VSX, VMX), GOMP – OpenMP, OpenCL, CUDA, Graphlab 2.1.  Expert Engines/C.E.P/A.I/W.F/BPMS: JBPM 5, Drools 4.0, Drools Fusion, IBM - ilog (CPLEX, BRMS), Esper Engine/IO4.9 (Java), ETALIS, Triceps CEP 1.0, Oracle C.E.P.  Development Environment & Packages: - Eclipse IDE, NetBeans IDE, SwishMax4, Flash Develop 4.0.4, FLEX 4.6, Flash builder 4.5 Premium, JGrasp , sonar, jenkins, YUI, jmeter, selenium, robotium, Hudson  (Mathematical/Statistical Modeling/Machine Learning/Image Processing/DSP): R, R-Studio 2.15.1, AUTOCAD 2010, MATLAB R2012a & b(SIMULINK) , GNU Octave 3.2.4, OpenCV, OpenMAX DL API, SciKit, Pybrain, CGAL, OPENCV, JAVACV, EMGUCV, VLFEAT, GraphicsMajik, LibCCV, Darwin.  DotNet Framework: Visual Studio 2010 Ultimate(VC#.NET, VC++.NET, ASP.NET, ADO.NET, VB.NET, WPF, WCF, MVVM, , Silverlight 3, Windows Forms, libs, Linq, dlls), Spring.NET.  Java/J2EE/ Framework: Spring, Hibernate, struts, JSF, JPA, JMS, JNDI, JCA, JNI, JTA, JAX-RPC, Java Rules Engine API, EclipseLink, Roo, Play, Grails, Lift, MVC.  Python packages/ Frameworks: Scipy, Numpy, Cpy, Jpy, Django, pybrain, pyramid, pylons. Buildout, CherryPy, Paste, Plone, TurboGears, ZODB, Zope3, twisted, tornado.  PHP Frameworks: Cakephp / Symphony / Zend framework / CodeIgniter.  RDBMS/ODBMS: MySql 5.5.20 , Microsoft SQL Server 2008, Sqlite 3, Postgresql 9.1, Oracle DB 11.2 0, SybaseASE12.5, NoSQL( MongoDB, Memcache ,Redis, SimpleDB, Cassandra, Cascading), Neo4J, HyperGraphDb, Titan. .  SPOS - Android 4.1, Elementary - - IOS 3GS++, Windows Phone 7, BlackBerry 6.0++, Palm, Web OS, Symbain, Bada, Edgelib. Framework: Cordova, Sencha, IBM Worklight.  Messaging/Logging/Web Services-Web2.0 – Apache CXF, WEBAPI (SOAP, REST) , JSON, XML, JAX-RPC, Active MQ – Fuse/Apollo, Websphere Message Broker, JMS, Oracle Message Broker, Log4j, A-Commons.  Big Data, Distributed Computing, Cloud & Virtualization: - Amazon (AWS)-EC2, S3, RD, ELB, o Openstack Esex/Folstom (Swift, Nova, Compute, Glance, RabbitMQ, knife, Chef, ), o Cloud Stack. o Eucalyptus o OpenNebula. o Solr, Lucne, Nutch, Camel, o Apache Hadoop Framework:- Yarn, MapReduce, Avro, Cassandra, Chukwa, HBase, Hive, Mahout, Pig, ZooKeeper.  Containers /Servers/Sockets:, Apache Tomcat 2.2 , JBoss EAP 7, IBM Websphere 4.0, Weblogic 11, Custom HTTPD Server, Glassfish, LAMP 2.2, WAMP 2.2, ((HTTPS, Load Balancing with Mod – jk )).  Clustering: JBOSS OSGI, Mysql, Mod-JK.  Hypervisor: Linux KVM, ESX.  Natural Language Processing: Stanford & MIT’s Python Packages of (NLTK, Divisi2, Luminoso 1.3.3, Montylingua, Open Mind Common Sense, Conceptnet 4.0.1), Open NLP, and Various.  U.I/Games/Graphics: Ogre3D, panda 3D, Delta 3D, Unity 3D,, Open GL, Direct X 11, Starling, Irrlicht Engine, o JavaScript Frameworks: Node.JS, EXT.Js, Backbone.Js, Knockout.Js, HTML5, AJAX, Jquery, GWT, Sench GXT.  Infrastructure/Products: o Cisco: Datacentre, Networking, Blade Switches, Video Conferencing, Collaboration. o Oracle:SPARC M6 – 32. o IBM: IBM EC12, IBM Power 795, IBM Blade Servers, IBM Pure flex Systems, Smart Cities, I2 Suite, BI suite.

↗

VanceKingSaxbeA/EnterpriseArchitecture

Enterprise Architecture for enterprise systems using o Architecture: TOGAF, DODAF, MODAF, Zachmann, OMG. o Project Management: PMBOK, PRINCE II, ITABOK, RUP. o Standards & Compliance: IEEE, ANSI, ISO, CMMI, OSI. o Governance: COBIT 5, ITIL. . Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.. Tools used, framworks, development environment can be any one or in combination of the following exclusively.......... Architecture: Archi, Enterprise Architect 9, IBM Rational Suite, IBM Rhapsody suite, Oscarina.  Project Management: IBM Rational Focal Point, Portfolio Manager, Rational requisite PRO, Integrations to Rational Suite, Primvera EPPM, Daptiv PPM, ChangePoint PPM, Microsoft PPM.  Continuous Integration/Built/: Hudson, Jenkins, Git, SVN, Maven, Ant.  Active Code Generation: Xdoclet, A.Velocity, codesmithtools, Acceleo, Accelerator, actifsource, Agile Platform, any<code/>, Appsroller Web Form Generator,AtomWeaver, C++ Middleware Writer, Click2Code for windows, CodeFluent Entities, CodeGenerator360, CodeOnTime, DMS Software Reengineering Toolkit, GenerateXY, GNU AutoGen, Iron Speed Designer, LayerCake Generator, Microsoft Visual Studio LightSwitch, NoORM, OMS.Ice – T4 Text Template Generator, PHPRunner, Radarc, Spring Roo, TLGen, Umple, Wickedfast Solutions, LLC, Xomega.Net for Visual Studio, Apache Isis, Jostraca, Code4Green, Cog, XDocLet, Umple, JCodeBox, M-Power, NoORM, OpenMDX, TLGen  Parallel/Concurrent Programming: IBM XL C/C++(MAAS, VSX, VMX), GOMP – OpenMP, OpenCL, CUDA, Graphlab 2.1.  Expert Engines/C.E.P/A.I/W.F/BPMS: JBPM 5, Drools 4.0, Drools Fusion, IBM - ilog (CPLEX, BRMS), Esper Engine/IO4.9 (Java), ETALIS, Triceps CEP 1.0, Oracle C.E.P.  Development Environment & Packages: - Eclipse IDE, NetBeans IDE, SwishMax4, Flash Develop 4.0.4, FLEX 4.6, Flash builder 4.5 Premium, JGrasp , sonar, jenkins, YUI, jmeter, selenium, robotium, Hudson  (Mathematical/Statistical Modeling/Machine Learning/Image Processing/DSP): R, R-Studio 2.15.1, AUTOCAD 2010, MATLAB R2012a & b(SIMULINK) , GNU Octave 3.2.4, OpenCV, OpenMAX DL API, SciKit, Pybrain, CGAL, OPENCV, JAVACV, EMGUCV, VLFEAT, GraphicsMajik, LibCCV, Darwin.  DotNet Framework: Visual Studio 2010 Ultimate(VC#.NET, VC++.NET, ASP.NET, ADO.NET, VB.NET, WPF, WCF, MVVM, , Silverlight 3, Windows Forms, libs, Linq, dlls), Spring.NET.  Java/J2EE/ Framework: Spring, Hibernate, struts, JSF, JPA, JMS, JNDI, JCA, JNI, JTA, JAX-RPC, Java Rules Engine API, EclipseLink, Roo, Play, Grails, Lift, MVC.  Python packages/ Frameworks: Scipy, Numpy, Cpy, Jpy, Django, pybrain, pyramid, pylons. Buildout, CherryPy, Paste, Plone, TurboGears, ZODB, Zope3, twisted, tornado.  PHP Frameworks: Cakephp / Symphony / Zend framework / CodeIgniter.  RDBMS/ODBMS: MySql 5.5.20 , Microsoft SQL Server 2008, Sqlite 3, Postgresql 9.1, Oracle DB 11.2 0, SybaseASE12.5, NoSQL( MongoDB, Memcache ,Redis, SimpleDB, Cassandra, Cascading), Neo4J, HyperGraphDb, Titan. .  SPOS - Android 4.1, Elementary - - IOS 3GS++, Windows Phone 7, BlackBerry 6.0++, Palm, Web OS, Symbain, Bada, Edgelib. Framework: Cordova, Sencha, IBM Worklight.  Messaging/Logging/Web Services-Web2.0 – Apache CXF, WEBAPI (SOAP, REST) , JSON, XML, JAX-RPC, Active MQ – Fuse/Apollo, Websphere Message Broker, JMS, Oracle Message Broker, Log4j, A-Commons.  Big Data, Distributed Computing, Cloud & Virtualization: - Amazon (AWS)-EC2, S3, RD, ELB, o Openstack Esex/Folstom (Swift, Nova, Compute, Glance, RabbitMQ, knife, Chef, ), o Cloud Stack. o Eucalyptus o OpenNebula. o Solr, Lucne, Nutch, Camel, o Apache Hadoop Framework:- Yarn, MapReduce, Avro, Cassandra, Chukwa, HBase, Hive, Mahout, Pig, ZooKeeper.  Containers /Servers/Sockets:, Apache Tomcat 2.2 , JBoss EAP 7, IBM Websphere 4.0, Weblogic 11, Custom HTTPD Server, Glassfish, LAMP 2.2, WAMP 2.2, ((HTTPS, Load Balancing with Mod – jk )).  Clustering: JBOSS OSGI, Mysql, Mod-JK.  Hypervisor: Linux KVM, ESX.  Natural Language Processing: Stanford & MIT’s Python Packages of (NLTK, Divisi2, Luminoso 1.3.3, Montylingua, Open Mind Common Sense, Conceptnet 4.0.1), Open NLP, and Various.  U.I/Games/Graphics: Ogre3D, panda 3D, Delta 3D, Unity 3D,, Open GL, Direct X 11, Starling, Irrlicht Engine, o JavaScript Frameworks: Node.JS, EXT.Js, Backbone.Js, Knockout.Js, HTML5, AJAX, Jquery, GWT, Sench GXT.  Infrastructure/Products: o Cisco: Datacentre, Networking, Blade Switches, Video Conferencing, Collaboration. o Oracle:SPARC M6 – 32. o IBM: IBM EC12, IBM Power 795, IBM Blade Servers, IBM Pure flex Systems, Smart Cities, I2 Suite, BI suite.

↗

VanceKingSaxbeA/MachineLearningAlgorithms

Documentation on algorithms, for machine learning. Produced by team at GoldSax Consulting. Source code for the algorithms in  Coré:- C, C++, C#, D, Java.  Added Core: Python 2.7.3, Scala, Groovy 2.2 – Grails 2.3.3, PHP 5.3.10, Perl V5.14.2, Ruby 1.9.3, Action Script 3, JavaScript, Jquery.  Functional Core: F#, Lisp, Clojure, Prolog, Erlang 5.01, Ada, Eiffel  Math/Stat: R, MATLAB , Octave 3.2.4, Mathematica, MathStatica, ML, Haskell, Q, Pure, AMPL, APL, go, AUTOCAD 11.  Compilers/VM: GCC, GDC, JVM, Cython, PyPy, VM, CLISP, GNU/SWI/2/ Prolog 1.4.2.  Architecture Description Languages: IDEF, BPMN, BPML, BPQL, ACME, COSA, Darwin, Rapide, Archimate, AADL, UML, SysML.  Declarative/DRL/DSL: Erlang, Drools, Elixir, IBM ILOG, CPLEX CEP, DRL (Decision Representation Language), E.P.L (Event Processing Language), EP-SPARQL, ANSI SQL, ETL, PL-SQL, T-SQL, CQL, HiveQL, Pig Latin can be found in my GitHub Repository. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/GoldClassifyKnn

This is a classification package in python of its GoldClassify package series based on KNN Supervised Machine Learning Algorithm. Input a feature set with classes and labels, suggest a value for 0<k < 20 and train the model. Run it for a label to return class. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. This Engagement sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/GoldSax-PCA

Python package for principle component analysis. depends on numpy. Configure datasets, instantiate and call the function. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/Power-Resource-Manager.

Mobile Resource Management Architecture Document. Designed using SOA. U.Is in Desktops as well as Smart Phones. Aggregates RFID, GPS for resource tracking. This is real-time tracking. Ideal for Manufacturing units like Oil&Gas, Utilities and the other.

↗

VanceKingSaxbeA/GoldCEP-Engine

Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager. A Complex Event Processing Engine applicable for any functional domain. Used in conjunction with GoldPatterns for pattern detection and the Decision Engine makes it a true expert engine. Ideal for Policy decision making for Corporates, Governments and the like. The GoldDSL-(domainname) package in conjuction with the expert system helps the domain expert raise queries, write rules and constraints in the natural language.

↗

VanceKingSaxbeA/MarketsEngineAPI

A web 2.0 API for the Markets Engine for third party applications to consume market data. The packaged .WAR could be deployed in any J2EE Compliant Application Server. The Ideal Choice is JBoss AS7. EJBs fetch persisted data for the JAX-ws/RPC calls. The decisiion engine in JBossDrools for Decision Making use business logic from the EJBs for rule validation.

↗

VanceKingSaxbeA/EconometricIntelligenceAPI

A web 2.0 API for the Econometric Intelligence Engine for third party applications to consume services. The packaged .WAR could be deployed in any J2EE Compliant Application Server. The Ideal Choice is JBoss AS7.

↗

VanceKingSaxbeA/GlobalEconomicEngine

The Global Macro Economic Econometric Engine. A Decision Engine with Indicators with decision support for strategic and policy actions. Ideal for Governments, Corporates and Businesses for guidelines on decision making. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/GlobalBonds-Engine

The Global Bond Market for Fixed Income Securities Markets Engine. A Decision Engine with Realtime quotes with decision whether to buy or sell a particular stock. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/FOREX-Engine

The Global Currency Market and FOREX Engine. A Decision Engine with Realtime quotes with decision whether to buy or sell a particular stock. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

↗

VanceKingSaxbeA/FTSE-Engine

The London Stock Exchange, FTSE Indices Engine. A Decision Engine with Realtime quotes with decision whether to buy or sell a particular stock. Modelled, Architected and designed by Vance King Saxbe. A. with the geeks from GoldSax Consulting, GoldSax Money, GoldSax Treasury, GoldSax Finance, GoldSax Banking and GoldSax Technologies email @vsaxbe@yahoo.com. Development teams from Power Dominion Enterprise, Precieux Consulting. Project sponsored by GoldSax Foundation, GoldSax Group and executed by GoldSax Manager.

FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.