File 4 3 Data Modelling Today.svg 420px thumb The datamodeling process. The figure illustrates the way ... point for interface or database design. ref name MW99 Datamodeling in software engineering is the process of creating a data model for an information system by applying formal datamodeling techniques. Overview Datamodeling is a Software development process process used to define and analyze ... systems in organizations. Therefore, the process of datamodeling involves professional data ..., Graham. C. 2005 . DataModeling Essentials .3rd Edition. Morgan Kauffman Publishers. ISBN 0 12 ... data models. The last step in datamodeling is transforming the logical data model to a physical data .... Datamodeling defines not just data elements, but their structures and relationships between them ... DIGloss.pdf Data Integration Glossary , U.S. Department of Transportation, August 2001. ref Datamodeling ... in order to manage it as a resource. The use of datamodeling standards is strongly recommended ..., e.g., using datamodeling to manage data as a resource for the integration of information systems for designing databases data warehouses aka data repositories Datamodeling may be performed during various ... 2004 determined two types of datamodeling ref name WBD04 Strategic datamodeling This is part .... Datamodeling during systems analysis In systems analysis logical data models are created as part of the development of new databases. Datamodeling is also used as a technique for detailing business requirement s for specific database s. It is sometimes called database modeling because a data ... X. ref Datamodeling topics Data models main Data model File 3 4 Data model roles.svg thumb 320px How ... data model. Datamodeling process File Datamodeling context.svg thumb 360px Datamodeling ... process integration see figure , datamodeling complements business process modeling , and ultimately ... of different systems within the organization ref name MW99 Modeling methodologies Data models represent ... more details
Multiple issues unreferenced December 2009 unreferenced October 2010 orphan February 2009 Enterprise Data Modeling is the practice of creating a graphical model of the data used by an enterprise or company. Typical outputs of this activity include Entity relationship diagrams Entity Relationship Diagrams ERD , XML Schema W3C XML Schemas XSD , and an enterprise wide data dictionary . Producing such a model allows for a business to get a helicopter view of their enterprise. In EAI Enterprise Application Integration an EDM allows data to be represented in a single idiom, enabling the use of a common syntax for the XML of services or operations and the physical data model for database schema creation. Data Modeling Tools for Entity Relationship Diagrams that also allow the user to create a data dictionary are usually used to aid in the development of an EDM. The implementation of an EDM is closely related to the issues of data governance and data stewardship within an organization. See also http www.tdan.com view articles 5205 The Enterprise Data Model , Noreen Kendle, The Data Administration Newsletter, July 1, 2005. br http www.amazon.com dp 0956582907 The Enterprise Data Model A framework for enterprise data architecture , Andy Graham 2010. Data modeling Category Data modeling datastructure stub ... more details
Data Center Predictive Modeling DCPM is the ability to forecast the performance of a data center into the future, be it its energy use, energy efficiency, performance of the myriad pieces of equipment, even cost. The term has been in use since June 2011 ref http www.itworld.com data centerservers 178363 romonet brings predictive data center tool us IT World, Romonet brings predictive data center tool to US , June 28th, 2011 ref and has been created by Romonet to differentiate from http en.wikipedia.org wiki Data center infrastructure management DCIM Data Center Infrastructure Management which is able only to track the present performance of the elements of a data center. ref http www.altaterra.net members blog view.asp?id 288668&tag DCPM Altaterra, Zen and the Art of Data Center Greening and Energy Efficiency , June 28th, 2011 ref References Reflist External links http www.abbreviations.com DCPM Acronym finder.com DCPM Category Data centers Category Datamodeling Compu stub ... more details
In datamodeling , the cardinality of one data table with respect to another data table is a critical aspect of database design. Relationships between data tables define cardinality when explaining how each table links to another. In the relational model, tables can be related as any of many to many , many to one rev. one to many , or one to one . This is said to be the cardinality of a given table in relation to another. For example, consider a database designed to keep track of hospital records. Such a database could have many tables like a Doctor table full of doctor information a Patient table with patient information and a Department table with an entry for each department of the hospital. In that model There is a many to many relationship between the records in the doctor table and records in the patient table Doctors have many patients, and a patient could have several doctors a one .... In datamodeling, collections of data elements are grouped into data tables . The data tables contain groups of data field names known in the science world as database attributes . Tables are linked ... sense datamodeling tactics called de normalization which combine tables in practical ways. In real world data models careful design is critical because as the data grows voluminous, tables linked by keys must be used to speed up programmed retrieval of data. If datamodeling is poor, even ... time delays. For this reason datamodeling is a keystone in the skills needed by a modern software developer. Formal Database Modeling Technologies UML class diagram may be used for datamodeling ... essays umlDataModelingProfile.html Relationships UML multiplicity as data model cardinality http www.agiledata.org DEFAULTSORT Cardinality DataModeling Category Datamodeling Category ... table. A complex data model can involve hundreds of related tables. A renowned computer scientist ... to UML, older Entity Relationship Diagrams ERDs can be used to capture information about data model ... more details
This article is a comparison of datamodeling tools which are notable, including standalone, conventional datamodeling tools and modeling tools supporting datamodeling as part of a larger modeling environment ... SQL Server , MySQL , SQLite , Oracle , PostgreSQL , Sybase Windows, Linux, Mac Datamodeling is supported as part of a complete modeling platform. 2000 ER Studio Embarcadero SMBs and enterprises Commercial ... of modeling environment with Unified Modeling Language UML support 2010 Oracle SQL Developer Data ... and synchronization Teamwork repository See also Comparison of database tools Datamodeling IDEF1X DEFAULTSORT Comparison Of DataModeling Tools Category Software comparisons Datamodeling tools Category Datamodeling tools ... Data Modeler CA Technologies SMBs and enterprises Commercial Free, limited, community edition available ... , Oracle , PostgreSQL , Sybase Windows, Linux , MAC OS Standalone or as part of an UML modeling environment ... of Windows Standalone 1999 Enterprise Architect Visual Modeling Platform Enterprise Architect Sparx ... Standalone 1998 IBM InfoSphere Data Architect IBM Enterprises Commercial IBM DB2 , Informix , Oracle ... 2006 Navicat Data Modeler PremiumSoft SMBs personal Commercial MySQL , MS SQL Server , PostgreSQL , Oracle , SQLite Windows, Mac OS Standalone 2012 Online Data Modeler JenaSoft SMBs personal Commercial ... and free community edition PostgreSQL , Oracle , MS SQL Server Windows Standalone 2004 Toad Data ... style width auto text align center font size smaller Tool Supported data models conceptual, logical ... and synchronization Teamwork repository CA ERwin Data Modeler Conceptual, logical, physical IDEF1X ... Architect Visual Modeling Platform Enterprise Architect Conceptual, Logical & Physical MDA transform ... database and or update model Additional ER Studio Repository for collaboration IBM InfoSphere Data Architect ... Data Modeler Conceptual, physical IE Crows feet yes yes Update database and or update model ... more details
datamodelingmodeling language language for Product business product data. EXPRESS is formalized ... ISO 10303 11 2004 Industrial automation systems and integration Product data representation and exchange Part 11 Description methods The EXPRESS language reference manual ref Overview Data model s formally define data object s and relationships among data objects for a domain of interest. Some typical applications of data models include supporting the development of database s and enabling the exchange of data for a particular area of interest. Data models are specified in a datamodeling language ... apa A Conceptual Data Model of Datum Systems . National Institute of Standards and Technology. August 1999. ref EXPRESS is a datamodeling language defined in ISO 10303 11, the EXPRESS Language Reference ... for the Exchange of Product model data Douglas A. Schenck and Peter R. Wilson, Information Modeling ... Express DataModeling Language Category Datamodeling Category Datamodeling languages Category ISO standards fr Express yo EXPRESS datamodeling language ... Product data representation andexchange Part 11 Description methods The EXPRESS language reference ... data model can be defined in two ways, textually and graphically. For formal verification and as input ... of a data model can be presented in a more understandable manner. A disadvantage of EXPRESS G is that complex constraints cannot be formally specified. Figure 1 is an example. The data ... 320px Fig 2. An EXPRESS G diagram for Family schema A simple EXPRESS data model looks like fig ... ENTITY Male SUBTYPE of Person END ENTITY END SCHEMA The data model is enclosed within the EXPRESS ... Datatypes EXPRESS offers a series of datatypes, with specific data type symbols of the EXPRESS G notation ref name MRM99 Image A 02A Data type symbols.jpg center Entity data type This is the most ... in two ways, in a sub supertype tree and or by attributes. Enumeration data type Enumeration values ... more details
Data Vault Modeling is a database modeling method that is designed to provide historical storage of data coming in from multiple operational systems. It is also a method of looking at historical data that, apart from the modeling aspect, deals with issues such as auditing, tracing of data, loading speed and resilience to change. Data Vault Modeling focuses on several things. First, it emphasizes the need to trace of where all the data in the database came from. Second, it makes no distinction between good and bad data bad meaning not conforming to business rules , ref dvsuper Super Charge your data warehouse , page 74 ref leading to a single version of the facts versus a single version of the truth , ref rdamhof1 The next generation EDW ref also expressed by Dan Linstedt as all the data, all of the time . Third, the modeling method is designed to be resilient to change in the business environment where the data being stored is coming from, by explicitly separating structural information from descriptive attributes. ref dvsuper Super Charge your data warehouse , page 21 ref Finally, Data Vault is designed to enable parallel loading as much as possible, ref dvsuper Super Charge your data ... dwdummy Data Warehousing for Dummies , page 83 ref History and philosophy In data warehouse modeling there are two well known competing options for modeling the layer where the data is stored. Either you model according to Ralph Kimball , with conformed dimensions and an enterprise data bus, or you ... domain modeling method. In a series of five articles on The Data Administration Newsletter the basic ... accessdate 12 september 2011 cite web ref dvforum1 last Linstedt first Dan title Data Vault Modeling ... of Dan Linstedt, the inventor of Data Vault modeling http www.learndatavault.com A website dedicated ... on Data Vault Modeling Approach and Methodology http www.slideshare.net dlinstedt Dan Linstedt s Slide ... dealing with changes in the systems feeding the data warehouse. For conformed dimensions you also ... more details
Multiple issues expert Data warehousing date April 2011 incomplete April 2011 orphan April 2011 technical April 2011 unreferenced April 2011 Bitemporal Modeling is an Information modeling information modeling technique designed to handle historical data along two different timeline s. This makes it possible to rewind the information to as it actually was in combination with as it was recorded at some point in time. In order to able do so, information cannot be discarded even if it is erroneous. Within, for example, financial reporting it is often desirable to be able to recreate an old report both as it actually looked at the time of creation and as it should have looked given corrections made to the data after its creation. Implementations of Bitemporal Modeling are mostly done using relational database s. As such, Bitemporal Modeling is considered different from Dimensional modeling Dimensional Modeling and complementary to database normalization . The upcoming SQL standard SQL 2011 will provide language constructs for working with bitemporal data. As no standard is yet in place, current solutions are vendor specific. Philosophy Bitemporal modeling uses bitemporal structures as the basic components. This results in the databases which have a consistent type of temporality for all data. Benefits of Bitemporal Modeling By focusing on completness and accuracy of data Bitemporal Modeling facilitates the creation of complete audit trails of data. Specifically this allows for queries which provide The most accurate data possible as we know it now Data as we knew it at any point in time When and why the most accurate data we had changed Data warehouse Category Data warehousing Category Datamodeling Category Datamodeling diagrams Category Database normalization database stub ... more details
modeling languages typically use standardized keywords accompanied by parameters to make computer interpretable expressions. An example of a graphical modeling language and a corresponding textual modeling language is EXPRESS datamodeling language EXPRESS . Not all modeling languages are executable ...A modeling language is any artificial language that can be used to express information or knowledge or system ... of the meaning of components in the structure. Overview A modeling language can be graphical or textual. ref Xiao He 2007 . A metamodel for the notation of graphical modeling languages . In Computer ... , Volume 1, Issue , 24 27 July 2007, pp 219 224. ref Graphical modeling languages use a diagramming ... required. On the contrary, executable modeling languages are intended to amplify the productivity ... and distributed system s. A large number of modeling languages appear in the literature. Type of modeling languages Graphical types Example of graphical modeling languages in the field of computer science, project management and systems engineering Behavior Trees are a formal, graphical modeling ... system. Business Process Modeling Notation BPMN, and the XML form BPML is an example of a Process Modeling language. EXPRESS datamodeling language EXPRESS and EXPRESS G ISO 10303 11 is an international standard general purpose datamodeling language. Extended Enterprise Modeling Language EEML is commonly used for business process modeling across a number of layers. Flowchart is a schematic representation of an algorithm or a stepwise process, Fundamental Modeling Concepts FMC modeling language for software intensive systems. IDEF is a family of modeling languages, which include IDEF0 for functional modeling, IDEF1X for information modeling, IDEF3 for business process modeling, IDEF4 for Object Oriented Design and IDEF5 for modeling ontologies. Jackson Structured Programming JSP is a method for structured programming based on correspondences between data stream structure and program structure ... more details
. The Business Process Modeling Notation BPMN , a graphical representation for specifying business processes in a workflow, can also be considered to be a systems modeling language. Overview In business and IT development the term systems modeling has multiple meaning. It can relate to the use of scientific modeling model to conceptualize and construct systems the Interdisciplinarity interdisciplinary study of the use of these models the systems modeling, systems analysis analysis , and systems design design efforts the systems modeling and simulation , such as system dynamics any specific systems modeling language As a field of study systems modeling has emerged with the development of system theory and systems sciences . As a type of scientific modelingmodeling systems modeling is based on systems thinking and the systems approach. In business and IT systems modeling contrasts other approaches such as agent based modelingdatamodeling and mathematical modeling In Methodology for Creating ... 240px Business Process Modeling Notation Example. Systems modeling or system modeling is the Interdisciplinarity interdisciplinary study of the use of scientific modeling model s to conceptualize .... Retrieved June 19, 2009. ref A common type of systems modeling is function model ling, with specific ... modeling was considered to be one of the three basic methodological approaches for gaining business knowledge, beside the analytical approach and the actor s approach agent based modeling . ref ... with SysML UML Modeling, Analysis, Design . Page 287. ref In the 1960s it was exploited by the NASA ... & James Martin 2003 . http mason.gmu.edu tdufresn paper.doc Process Modeling for E Business . INFS ... current systems it is necessary to have some means of precisely stating a data processing problem independentaly of mechanization. ref Young, J. W., and Kent, H. K. 1958 . Abstract Formulation of Data ... of a data processing problem, and wanted to created a notation that should enable the Systems analyst ... more details
example of a modeling language employing this perspective is data flow diagrams. The perspective ... Modeling language Three schema approach for datamodeling View model References reflist Refimprove ...A modeling perspective in information system s is a particular way to represent pre selected aspects ... between modeling perspectives is structural, functional and behavioral processual perspectives ... modeling approaches. ref John Krogstie 2003 . http www.idi.ntnu.no krogstie publications 2003 quality book b2 languages.pdf Conceptual modeling , ref Types of perspectives Structural modeling perspective This approach concentrates on describing the static structure. The main concept in this modeling perspective is the entity, this could be an object, phenomena, concept, thing etc. The datamodeling languages have traditionally handled this perspective, examples of such being The ER model ER language Entity Relationship Generic Semantic Modeling language GSM Other approaches including .... Looking at the generic semantic modeling language we have the basic components Constructed ... Data types in GSM are classified into printable and abstract types. Printable Used to specify visible values. Abstract Representing entities. Functional modeling perspective The functional model ing approach concentrates on describing the dynamic process. The main concept in this modeling perspective .... Store Data collection or some sort of material. Flow Movement of data or material in the process ..., a process can be represented as a network of these symbols. This decomposed process is a DFD, data ... examples of well known behaviorally oriented modeling languages. Different types of State Transition ... oriented modeling , Tempora and Expert systems are some examples of rule oriented modeling. Object ... for modeling with an object perspective. Communication perspective This perspective is based on language ..., amongst other actors, when filling the role. Modeling within these perspectives is based ... more details
Dimensional modeling DM is the name of a set of techniques and concepts used in data warehouse design. It is considered to be different from entity relationship model ing ER . Dimensional Modeling does not necessarily involve a relational database. The same modeling approach, at the logical level, can be used for any physical form, such as multidimensional database or even flat files. According to data ... Wiley ISBN 978 0 470 14977 9 ref Data warehouse DEFAULTSORT Dimensional Modeling Category Data warehousing Category Datamodeling no Dimensjonsmodellering pt Modelagem dimensional ... intended to support end user queries in a data warehouse. It is oriented around understandability ... processing transaction capture , it should be avoided for end user delivery. Dimensional modeling ... dimensions, efficiency in design, operation, and consistency, is achieved using Dimension data warehouse .... The term conformed dimensions was originated by Ralph Kimball . Dimensional modeling process ref name ... The process of dimensional modeling builds on a 4 step design method that helps to ensure the usability of the dimensional model and the use of the data warehouse . The basics in the design build on the actual business process which the data warehouse should cover. Therefore the first step in the model ... text or use basic Business Process Modeling Notation BPMN or other design guides like the Unified Modeling Language Unified Modeling Language UML . DECLARING THE GRAIN After describing the Business ... step process. Dimensions are the foundation of the fact table, and is where the data for the fact ... are where all the data is stored. For example, the date dimension could contain data such as year ... they get access to data stored in the data warehouse . Therefore most of the fact table rows ... has an influence on the data structure that differs from many philosophies of data warehouses. ref name Golfarelli Single data fact table surrounded by multiple descriptive dimension tables Developers ... more details
Procedural modeling is an umbrella term for a number of techniques in computer graphics to create 3D models and texture mapping textures from sets of rules. L System s, fractal s, and Generative Modelling Language generative modeling are procedural modeling techniques since they apply algorithm s for producing scenes. The set of rules may either be embedded into the algorithm, configurable by parameters, or the set of rules is separate from the evaluation engine. The output is called procedural content, which can be used in computer games, films, be uploaded to the internet, or the user may edit the content manually. Procedural models often exhibit database amplification, meaning that large scenes can be generated from a much smaller amount of rules. If the employed algorithm produces the same output every time, the output need not be stored. Often, it suffices to start the algorithm with the same random seed to achieve this. Although all modeling techniques on a computer require algorithms to manage and store data at some point, procedural modeling focuses on creating a model from a rule set, rather than editing the model via user input. Procedural modeling is often applied when it would be too cumbersome to create a 3D model using generic 3D modeler s, or when more specialized tools are required. This is often the case for plants, architecture or landscapes. Procedural modeling suites http www.voxelogic.com Acropora BRL CAD Bryce software Bryce CityEngine http pixelactive3d.com ... www.cs.umbc.edu ebert book book.html Texturing and Modeling A Procedural Approach , Ebert, D., Musgrave ... CityEngine http www.vision.ee.ethz.ch pmueller documents procedural modeling of cities siggraph2001.pdf Procedural Modeling of Cities , Yoav I H Parish, Pascal M ller http www.vision.ee.ethz.ch pmueller documents mueller.procedural modeling of buildings.SG2006.web version.pdf Procedural Modeling of Buildings , Pascal M ller, Peter Wonka, Simon Haegler, Andreas Ulmer and Luc Van Gool http ... more details
Anchor Modeling is an agile database modeling technique suited for information that change over time both in structure and content. It provides a graphical notation used for conceptual modeling similar to that of Entity relationship model Entity Relationship modeling , with extensions for working with temporal data. The modeling technique is based around four modeling constructs the anchor, attribute ... Anchor modeling Agile information modeling in evolving data environments journal Data & Knowledge ... Data warehouse Category Data warehousing Category Datamodeling Category Datamodeling diagrams Category ... Conference on Conceptual Modeling ER 2009 issn 0169 023X author L. R nnb ck and O. Regardt and M. Bergholtz ... form . Philosophy and history Anchor Modeling was created in order to take advantage of the benefits ... in the information content Anchor Modeling emulates aspects of a temporal database in the resulting relational database schema. The earliest installations using Anchor Modeling were made in Sweden with the first dating back to 2004, when a data warehouse for an insurance company was built using the technique. In 2007 the technique was being used in a few data warehouses and one OLTP system, and it was presented internationally by Lars R nnb ck at the TDWI The Data Warehousing Institute conference ... a more formal description. Since then research concerning Anchor Modeling is being done in a collaboration ... and R nnb ck, Lars and Bergholtz, Maria and Johannesson, Paul and Wohed, Petia title Anchor Modeling journal Proceedings of the 28th International Conference on Conceptual Modeling series ER 09 year ... AnchorModeling09.pdf here ref in which Anchor Modeling is formalized, was presented at the 28th International Conference on Conceptual Modeling ref 28th International Conference on Conceptual Modeling http www.inf.ufrgs.br er2009 ER 09 homepage ref and won the best ... material on Anchor Modeling is made public and free to use under a Creative Commons license. An online ... more details
year 2011 title Classifying data for successful modeling url http www.dwbiconcepts.com data warehousing ... mining Datamodeling Computer data processing Data remanence Data set Data warehouse Database Datasheet ...two other uses data in computer science Data computing pp move indef Editors please keep the count mass discussion and etymology in the body, not the intro. Data IPAc en icon d e t respell DAY t , IPAc en d t respell DA t , or IPAc en d t respell DAH t are values of Qualitative data qualitative or Quantitative data quantitative variable and attribute research variable s, belonging to a set of items. Data in computing or data processing are often represented by a combination of items organized in rows and multivariate analysis multiple variables organized in columns. Data are typically the results of measurements and can be data visualisation visualised using graph data structure graph s or image s. Data as an abstract concept can be viewed as the lowest level of abstraction from which information and then knowledge are derived. Raw data , i.e., unprocessed data, refers to a collection of number s, character computing characters and is a relative term data processing commonly occurs by stages, and the processed data from one stage may be considered the raw data of the next. Field work Field data refers to raw data collected in an uncontrolled in situ environment. Experimental data refers to data generated within the context of a scientific investigation by observation and recording. The word data is the plural of datum , Grammatical gender neuter past participle ... , engineering , and so on, the terms givens and data are used interchangeably. Such usage is the origin of data as a concept in computer science or data processing data are numbers, words, images ... datum from which distances to all other data are measured. Any measurement or result is a datum , but data point is more usual, ref cite web author Matt Dye year 2001 title Writing Reports url http ... more details
Expert subject date October 2010 unreferenced date October 2010 Simulation modeling is the process of creating and analyzing a Digital prototyping digital prototype of a physical model to predict its performance in the real world. Simulation modeling is used to help designers and engineers understand whether, under what conditions, and in which ways a part could fail and what loads it can withstand. Simulation modeling can also help predict fluid flow and heat transfer patterns. Uses of Simulation Modeling Simulation modeling allows designers and engineers to avoid repeated building of multiple physical prototypes to analyze designs for new or existing parts. Before creating the physical prototype, users can virtually investigate many digital prototypes. Using the technique, they can Optimize geometry for weight and strength Select materials that meet weight, strength, and budget requirements Simulate part failure and identify the loading conditions that cause them Assess extreme environmental conditions or loads not easily tested on physical prototypes, such as earthquake shock load Verify hand calculations Validate the likely safety and survival of a physical prototype before testing Typical Simulation Modeling Workflow Simulation modeling follows a process much like this Use a 2D or 3D CAD tool to develop a virtual model, also known as a digital prototype, to represent a design. Generate a 2D or 3D mesh for analysis calculations. Automatic algorithms can create finite element meshes, or users can create structured meshes to maintain control over element quality. Define finite element analysis data loads, constraints, or materials based on analysis type thermal, structural .... Simulation Modeling Software Programs Abaqus ANSYS Autodesk Algor Simulation Autodesk Inventor ... Interoperability Standards Organization http www.scs.org The Society for Modeling and Simulation International Formerly the Society of Computer Simulation Category Modeling and simulation ... more details
Context date October 2009 Modeling and simulation M&S is the use of models, including emulators, prototypes, simulators, and stimulators, either statically or over time, to develop data as a basis for making managerial or technical decisions. The terms modeling and simulation are often used interchangeably. ref Department of Defense Modeling and Simulation M&S Glossary , DoD 5000.59 M, United States ... ref The use of modeling and simulation M&S within engineering is well recognized. Simulation ... data to initialize the simulation can easily be obtained from operational data. This use of simulation ... is still ongoing. Individual concepts Although the terms modeling and simulation are often used ... are treated as individual and equally important concepts. Modeling is understood is the purposeful ... as the simulation. While modeling targets the conceptualization, simulation challenges mainly focus on implementation, in other words, modeling resides on the abstraction level, whereas simulation resides on the implementation level. Conceptualization and implementation modeling and simulation ... of systems engineering of military Systems. Modeling and simulation as an academic discipline Modeling ... in the field usually had a background in engineering. The following institutions offer degrees in Modeling ... Dominion University Norfolk, VA Modeling and simulation body of knowledge The Modeling and Simulation ... the modeling and simulation M&S community of practice and the M&S profession, industry, and market ... Glossary of Military Modeling & Simulation I ITSEC Military simulation MORS Operations Research Rule based modeling Simulation Interoperability Standards Organization Society for Modeling and Simulation International Synthetic Environment References Reflist External links Wiktionary Modeling & Simulation commons category http www.dod msiac.org US Dept of Defense Modeling and Simulation Information ... Biography mscaucus.htm US Congressional Modeling and Simulation Caucus http www.site.uottawa.ca oren ... more details
Loop modeling is a problem in protein structure prediction requiring the prediction of the chemical conformation conformations of loop biochemistry loop regions in protein s without the use of a structural template. The problem arises often in homology modeling , where the tertiary structure of an amino acid sequence is predicted based on a sequence alignment to a template , or a second sequence whose structure is known. Because loops have highly variable sequences even within a given structural motif or protein folding protein fold , they often correspond to unaligned regions in sequence alignments they also tend to be located at the solvent exposed surface of globular protein s and thus are more conformationally flexible. Consequently, they often cannot be modeled using standard homology modeling techniques. More constrained versions of loop modeling are also used in the data fitting stages of solving a protein structure by X ray crystallography , because loops can correspond to regions of low electron density and are therefore difficult to resolve. Regions of a structural model that were predicted by loop modeling tend to be much less accurate than regions that were predicted using template based techniques. The extent of the inaccuracy increases with the number of amino acid s in the loop. The loop amino acids side chain s dihedral angle s are often approximated from a rotamer library, but can worsen the inaccuracy of side chain packing in the overall model. Andrej Sali s homology modeling suite MODELLER includes a facility explicitly designed for loop modeling by a satisfaction of spatial restraints method. Short loops In general, the most accurate predictions are for loops of fewer than 8 amino acids. Extremely short loops of three residues can be determined from geometry alone, provided that the bond lengths and bond angles are specified. Slightly longer loops are often ... s loop modeling facility bioinformatics stub Category Bioinformatics Category Protein methods ... more details
Unreferenced date December 2009 ERP modeling , abbreviated to ERP , is the process of reverse engineering an Enterprise Resource Planning software package in order to align it to an organizational structure. Usage Although ERP modeling could possibly be performed by several methodologies, this entry deals with ERP modeling using Object Process Methodology , or OPM. OPM appears to be a usable methodology for modeling ERP systems, as the methodology focuses on optionality within objects and processes of an ERP system. ERP modeling is done by analyzing the optionality within an ERP system to identify the different functions of the system that the end using company needs, regarding its organizational structure. Reverse engineering both ERP system and organizational structure to the same level of granularity makes both layers compatible for aligning the package in the organization. ERP breaks down traditional functional barriers by facilitating data sharing, information flows, and the introduction of common business practices among all organizational users. Theory A Global Business Process Model is created which represents the whole ERP software product. This model is layered in 3 deeper levels. The first level is the System Configuration Level , which scopes on high level optionality on the entire system. Option definition is therefore static once a high level option of the ERP system is chosen to be used within the organization, the choice cannot be made undone. One level deeper is the Object Level , which scopes on single data objects. The optionality on this level is more dynamic . The deepest level is the Occurrence level , which analyses single process occurrences. Because this level elaborates on object parameters, the optionality is very dynamic , meaning that options can easily be altered. The meta model below depicts the optionality levels of ERP modeling. Unsourced ... the occurrence level business process options DEFAULTSORT Erp Modeling Category ERP software ... more details
and modify. Parametric modeling also lends itself to data re use. A whole family of capscrews ...File Jack in cube solid model, light background.gif thumb 180px right The geometry in solid modeling ... graphics ray traced in Cobalt CAD program Cobalt Solid modeling or modelling is a consistent set of principles for mathematical and computer modeling of three dimensional solids. Solid modeling is distinguished from related areas of geometric modeling and computer graphics by its emphasis on physical fidelity. ref name Solid Modeling cite book url http sal cnc.me.wisc.edu index.php?option com remository&Itemid 143&func fileinfo&id 53 title Solid Modeling author Shapiro, Vadim year 2001 publisher Elsevier accessdate 20 April 2010 ref Together, the principles of geometric and solid modeling form ... of solid modeling techniques allows for the automation of several difficult engineering calculations ... of solid modeling. More recently, the range of supported manufacturing applications has been greatly ... etc. Beyond traditional manufacturing, solid modeling techniques serve as the foundation for rapid prototyping , digital data archival and reverse engineering by reconstructing solids from sampled ... of real artifacts. Solid modeling research and development has effectively addressed many of these issues ... The notion of solid modeling as practiced today relies on the specific need for informational completeness in mechanical geometric modeling systems, in the sense that any computer model should ... led to the development of the modeling paradigm that has shaped the field of solid modeling ... doi 10.1109 MCG.1983.263271 title Solid Modeling Current Status and Research Directions author Requicha ... the focus was on mathematically modeling rigid parts made of homogeneous isotropic material ... the closure of its interior, and thus the modeling space of solids is mathematically defined to be the space ... finite spatial addresses for points in an otherwise innumerable continuum. ref name Solid Modeling ... more details
Multiple issues unreferenced August 2011 wikify August 2011 orphan December 2011 With the explicit modeling , designers quickly and easily create 3D CAD designs, which they then modify through direct, on the fly interactions with the model geometry. Advantages The explicit approach is flexible and easy to use, so it s ideal for companies that create one off or highly customized products products that simply don t require all the extra effort of up front planning and the embedding of information within models. With an explicit approach to 3D design, the interaction is with the model geometry and not with an intricate sequence of design features. That makes initial training on the software easier ... document. Thus explicit modeling appeals to a variety of audiences companies with flexible staff ... with direct modeling capabilities, the parametric approach is still designed to leverage embedded product ... product design process. Parametric vs. explicit approach With a parametric approach, data files ... approach, however, reduces data files to the 3D geometry only, dramatically reducing the design data of each individual part, so large and complex designs don t overwhelm hardware or software. Smaller file sizes mean designers can load and store data files faster, reload and update parts to new revisions instantly, and make better overall use of their computer memory. Use in data management When combined with a data management system, an explicit 3D CAD system can also help manage complex relationships associated with large assemblies. For example, an integrated data management system automates ... up to date design data. When all design data is centralized in a common database, companies ... by someone else. Explicit 3D CAD systems excel at importing and modifying of multisource CAD data, which ... design. STEP and IGES are essentially native 3D design data formats in an explicit approach because ... other 3D design approaches, including hybrids, explicit modeling can offer true flexibility because ... more details
data can be categorized into three basic groups information on the site locations, referred to as geocoding data street address, postal code, county CRESTA zone, et cetera information on the physical ... cat modeling to assess the risk in a portfolio of exposures. This might help guide an insurer s underwriting ... use cat modeling in the pricing and structuring of catastrophe bond . Demand surge Some cat models ... catastrophe modeling Recently, an effort to create and disseminate open multi hazard cat risk modelling ... and sharing exposure data. To date, the industry has been operating on closed, proprietary data ... for Global Open Risk Analysis AGORA Computer modeling Category Actuarial science Category Disaster management tools Category Risk Category Scientific modeling ... more details
Visual modeling is the graphic representation of objects and systems of interest using graphical language s. Visual modeling languages may be General Purpose Modeling GPM languages e.g., Unified Modeling Language UML , Southbeach Notation , IDEF or Domain Specific Modeling DSM languages e.g., SysML . They include industry open standards e.g., UML, SysML , as well as proprietary standards, such as the visual languages associated with VisSim , MATLAB and Simulink , OPNET , and NI Multisim . VisSim is unique in that it provides a royalty free, downloadable Viewer that lets anyone open and interactively simulate VisSim models. Visual modeling languages are an area of active research that continues to evolve, as evidenced by increasing interest in DSM languages, visual requirements , and visual OWL Web Ontology Language . ref name faq cite web author title Visual OWL url http www.visualmodeling.com VisualOWL.htm ref See also Service oriented modeling Discipline specific modeling Discipline Specific Modeling Domain Specific Modeling Model Driven Engineering Modeling language References reflist External links http www.VisualModelingForum.com Visual Modeling Forum A web community dedicated to visual modeling languages and tools. Category Programming language topics Category Unified Modeling Language Category Simulation programming languages http www.vissim.com downloads demos.html VisSim Viewer download page comp sci stub should be information visualization stub or something like that uk ... more details
The term process model is used in various contexts. For example, in business process modeling the enterprise ... level for processes ref name Rolland1993 Colette Rolland 1993 . Modeling the Requirements Engineering ... that the model needs to fulfill. Pre defines points at which data can be extracted for reporting purposes. Purpose From a theoretical point of view, the meta process modeling explains the key .... From an operational point of view, the meta process modeling is aimed at providing guidance ... modeling a business process usually predicates a need to change processes or identify issues to be corrected ... to reality every day. Supporting technologies include Unified Modeling Language UML , model driven architecture , and service oriented architecture . Process modeling addresses the process aspects ... of a business processes in the context of the rest of the enterprise systems, data .... Process modeling has always been a key aspect of business process reengineering , and continuous ... to elaborate quality of modeling techniques as an important essence in quality of process models. In most existing framework created for understanding the quality, the line between quality of modeling ... drawn. This report will concentrate both on quality of process modeling techniques and quality ... quality of process modeling techniques, one example is Quality based modeling evaluation ... one or different model types using one modeling techniques ref name hommes BJ Hommes, V Van Reijswoud, Assessing the Quality of Business Process Modeling Techniques Proceedings of the 33rd Hawaii ... quality and the process quality of modeling techniques with regard to a set of properties that have been defined before. Quality properties that relate to business process modeling techniques discussed in ref name hommes are Expressiveness the degree to which a given modeling technique is able ... one has when modeling one and the same domain Suitability the degree to which a given modeling ... more details
unreferenced date September 2008 Web modeling aka model driven Web development is a branch of Web engineering which addresses the specific issues related to design and development of large scale Web application s. In particular, it focuses on the design notations and visual languages that can be used for the realization of robust, well structured, usable and maintainable Web applications. Designing a data intensive Web site amounts to specifying its characteristics in terms of various orthogonal abstractions. The main orthogonal models that are involved in complex Web application design are data structure, content composition, navigation paths, and presentation model. In the beginning of Web development, it was normal to accessed Web applications by creating something with no attention to the developmental stage. In the past years, companies had many issues with managing their Web sites as the developmental process grew and complicated other applications. Web development tools have helped with simplifying data intensive Web applications by using page generators. Microsoft s Active Server Pages and JavaSoft s Java Server Pages have helped by bringing out content and using user programmed templates. Several languages and notations have been devised for Web application modeling. Among them, we can cite HDM W2000 RMM OOHDM ARANEUS STRUDEL TIRAMISU WebML Hera UML Web Application Extension UML based Web Engineering UWE ACE WebArchitect OO H One of the main discussion venues for this discipline is the http mdwe2011.pst.ifi.lmu.de Model Driven Web Engineering Workshop MDWE held yearly in conjunction with the http icwe2011.webengineering.org International Conference on Web Engineering ICWE conference. Category Web design pt Modelagem web comm design stub ... more details
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