IDEF0 Includes Both a Definition of a Graphical Model
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Modelling and Control Methods with Applications to Mechanical Waves
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1174 Modelling and Control Methods with Applications to Mechanical Waves HANS NORLANDER ACTA UNIVERSITATIS UPSALIENSIS ISSN 1651-6214 ISBN 978-91-554-9023-2 UPPSALA urn:nbn:se:uu:diva-229793 2014 Dissertation presented at Uppsala University to be publicly examined in room 2446, ITC, Lägerhyddsvägen 2, Uppsala, Friday, 17 October 2014 at 10:15 for the degree of Doctor of Philosophy. The examination will be conducted in English. Faculty examiner: Prof. Jonas Sjöberg (Chalmers). Abstract Norlander, H. 2014. Modelling and Control Methods with Applications to Mechanical Waves. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1174. 72 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9023-2. Models, modelling and control design play important parts in automatic control. The contributions in this thesis concern topics in all three of these concepts. The poles are of fundamental importance when analyzing the behaviour of a system, and pole placement is an intuitive and natural approach for control design. A novel parameterization for state feedback gains for pole placement in the linear multiple input case is presented and analyzed. It is shown that when the open and closed loop poles are disjunct, every state feedback gain can be parameterized. Other properties are also investigated. Hammerstein models have a static non-linearity on the input. A method for exact compensation of such non-linearities, combined with introduction of integral action, is presented. Instead of inversion of the non-linearity the method utilizes differentiation, which in many cases is simpler. -
Design Analysis Method for Multidisciplinary Complex Product Using Sysml
MATEC Web of Conferences 139, 00014 (2017) DOI: 10.1051/matecconf/201713900014 ICMITE 2017 Design Analysis Method for Multidisciplinary Complex Product using SysML Jihong Liu1,*, Shude Wang1, and Chao Fu1 1 School of Mechanical Engineering and Automation, Beihang University, 100191 Beijing, China Abstract. In the design of multidisciplinary complex products, model-based systems engineering methods are widely used. However, the methodologies only contain only modeling order and simple analysis steps, and lack integrated design analysis methods supporting the whole process. In order to solve the problem, a conceptual design analysis method with integrating modern design methods has been proposed. First, based on the requirement analysis of the quantization matrix, the user’s needs are quantitatively evaluated and translated to system requirements. Then, by the function decomposition of the function knowledge base, the total function is semi-automatically decomposed into the predefined atomic function. The function is matched into predefined structure through the behaviour layer using function-structure mapping based on the interface matching. Finally based on design structure matrix (DSM), the structure reorganization is completed. The process of analysis is implemented with SysML, and illustrated through an aircraft air conditioning system for the system validation. 1 Introduction decomposition and function modeling, function structure mapping and evaluation, and structure reorganization. In the process of complex product design, system The whole process of the analysis method is aimed at engineering is a kind of development methods which providing designers with an effective analysis of ideas covers a wide range of applications across from system and theoretical support to reduce the bad design and requirements analysis, function decomposition to improve design efficiency. -
Justice XML Data Model Technical Overview
Justice XML Data Model Technical Overview April 2003 WhyWhy JusticeJustice XMLXML DataData ModelModel VersionVersion 3.0?3.0? • Aligned with standards (some were not available to RDD) • Model-based Æ consistent • Requirements-based – data elements, processes, and documents • Object-oriented Æ efficient extension and reuse • Expanded domain (courts, corrections, and juvenile) • Extensions to activity objects/processes • Relationships (to improve exchange information context) • Can evolve/advance with emerging technology (RDF/OWL) • Model provides the basis for an XML component registry that can provide • Searching/browsing components and metadata • Assistance for schema development/generation • Reference/cache XML schemas for validation • Interface (via standard specs) to external XML registries April 2003 DesignDesign PrinciplesPrinciples • Design and synthesize a common set of reusable, extensible data components for a Justice XML Data Dictionary (JXDD) that facilitates standard information exchange in XML. • Generalize JXDD for the justice and public safety communities – do NOT target specific applications. • Provide reference-able schema components primarily for schema developers. • JXDD and schema will evolve and, therefore, facilitate change and extension. • Best extension methods should minimize impact on prior schema and code investments. • Implement and represent domain relationships so they are globally understood. • Technical dependencies in requirements, solutions, and the time constraints of national priorities and demands -
Object Query Language Reference Version: Itop 1.0
Object Query Language Reference Version: Itop 1.0 Overview OQL aims at defining a subset of the data in a natural language, while hiding the complexity of the data model and benefit of the power of the object model (encapsulation, inheritance). Its syntax sticks to the syntax of SQL, and its grammar is a subset of SQL. As of now, only SELECT statements have been implemented. Such a statement do return objects of the expected class. The result will be used by programmatic means (to develop an API like ITOp). A famous example: the library Starter SELECT Book Do return any book existing in the Database. No need to specify the expected columns as we would do in a SQL SELECT clause: OQL do return plain objects. Join classes together I would like to list all books written by someone whose name starts with `Camus' SELECT Book JOIN Artist ON Book.written_by = Artist.id WHERE Artist.name LIKE 'Camus%' Note that there is no need to specify wether the JOIN is an INNER JOIN, or LEFT JOIN. This is well-known in the data model. The OQL engine will in turn create a SQL queries based on the relevant option, but we do not want to care about it, do we? © Combodo 2010 1 Now, you may consider that the name of the author of a book is of importance. This is the case if should be displayed anytime you will list a set of books, or if it is an important key to search for. Then you have the option to change the data model, and define the name of the author as an external field. -
Understanding the Rational Function Model: Methods and Applications
UNDERSTANDING THE RATIONAL FUNCTION MODEL: METHODS AND APPLICATIONS Yong Hu, Vincent Tao, Arie Croitoru GeoICT Lab, York University, 4700 Keele Street, Toronto M3J 1P3 - {yhu, tao, ariec}@yorku.ca KEY WORDS: Photogrammetry, Remote Sensing, Sensor Model, High-resolution, Satellite Imagery ABSTRACT: The physical and generalized sensor models are two widely used imaging geometry models in the photogrammetry and remote sensing. Utilizing the rational function model (RFM) to replace physical sensor models in photogrammetric mapping is becoming a standard way for economical and fast mapping from high-resolution images. The RFM is accepted for imagery exploitation since high accuracies have been achieved in all stages of the photogrammetric process just as performed by rigorous sensor models. Thus it is likely to become a passkey in complex sensor modeling. Nowadays, commercial off-the-shelf (COTS) digital photogrammetric workstations have incorporated the RFM and related techniques. Following the increasing number of RFM related publications in recent years, this paper reviews the methods and key applications reported mainly over the past five years, and summarizes the essential progresses and address the future research directions in this field. These methods include the RFM solution, the terrain- independent and terrain-dependent computational scenarios, the direct and indirect RFM refinement methods, the photogrammetric exploitation techniques, and photogrammetric interoperability for cross sensor/platform imagery integration. Finally, several open questions regarding some aspects worth of further study are addressed. 1. INTRODUCTION commercial companies, such as Space Imaging (the first high- resolution satellite imagery vendor), to adopt the RFM scheme A sensor model describes the geometric relationship between in order to deliver the imaging geometry model has also the object space and the image space, or vice visa. -
Reliability Block Diagram (Rbd)
RELIABILITY BLOCK DIAGRAM (RBD) 1. System performance 2. RBD definition 3. Structure function Master ISMP Master ISMP - Castanier 4. Reliability function of a non repairable complex system 5. Reliability metrics for a repairable complex system 59 System performance Problem: Individual definition of the failure modes and components What about the global performance of the « system »? Master ISMP Master ISMP - Castanier 60 Reliability Block Diagram definition Definition A Reliability Block Diagram is a success-oriented graph which illustrates from a logical perspective how the different functional blocks ensure the global mission/function of the system. The structure of the reliability block diagram is mathematically described through structure functions which allow to assess some reliability measures of the (complex) Master ISMP Master ISMP - Castanier system. Function model EThe valve can be closed S and stop the flow SDV1 61 Reliability Block Diagram definition Decomposition of a complex system in functional blocks Component 1 8 9 4 4 2 7 8 10 Master ISMP Master ISMP - Castanier 5 6 3 9 10 Functional block 1 62 Reliability Block Diagram definition The classical architectures « Serie » structure A system which is operating if and only of all of its components are operating is called a serie structure/system. « Parallel » structure A system which is operating if at least one of its components is Master ISMP Master ISMP - Castanier operating is called a parallel structure/system. « oo » structure A system which is operating if at least of its component are operating is called a over structure/system 63 Reliability Block Diagram definition Example Let consider 2 independent safety-related valves V1 and V2 which are physically installed in series. -
A Model-Driven Data-Analysis Architecture Enabling Reuse and Insight in Open Data
A model-driven data-analysis architecture enabling reuse and insight in open data Robin Hoogervorst July 2018 Master's Thesis Master of Computer Science Specialization Software Technology University of Twente Faculty of Electrical Engineering, Mathematics and Computer Science Supervising committee: dr. Luis Ferreira Pires dr.ir. Maurice van Keulen prof.dr.ir. Arend Rensink Abstract The last years have shown an increase in publicly available data, named open data. Organisations can use open data to enhance data analysis, but tradi- tional data solutions are not suitable for data sources not controlled by the organisation. Hence, each external source needs a specific solution to solve accessing its data, interpreting it and provide possibilities verification. Lack of proper standards and tooling prohibits generalization of these solutions. Structuring metadata allows structure and semantics of these datasets to be described. When this structure is properly designed, these metadata can be used to specify queries in an abstract manner, and translated these to dataset its storage platform. This work uses Model-Driven Engineering to design a metamodel able to represent the structure different open data sets as metadata. In addition, a function metamodel is designed and used to define operations in terms of these metadata. Transformations are defined using these functions to generate executable code, able to execute the required data operations. Other transformations apply the same operations to the metadata model, allowing parallel transformation of metadata and data, keeping them synchronized. The definition of these metamodels, as well as their transformations are used to develop a prototype application framework able to load external datasets and apply operations to the data and metadata simultaneously. -
Integration Definition for Function Modeling (IDEF0)
NIST U.S. DEPARTMENT OF COMMERCE PUBLICATIONS £ Technology Administration National Institute of Standards and Technology FIPS PUB 183 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR FUNCTION MODELING (IDEFO) » Category: Software Standard SUBCATEGORY: MODELING TECHNIQUES 1993 December 21 183 PUB FIPS JK- 45C .AS A3 //I S3 IS 93 FIPS PUB 183 FEDERAL INFORMATION PROCESSING STANDARDS PUBLICATION INTEGRATION DEFINITION FOR FUNCTION MODELING (IDEFO) Category: Software Standard Subcategory: Modeling Techniques Computer Systems Laboratory National Institute of Standards and Technology Gaithersburg, MD 20899 Issued December 21, 1993 U.S. Department of Commerce Ronald H. Brown, Secretary Technology Administration Mary L. Good, Under Secretary for Technology National Institute of Standards and Technology Arati Prabhakar, Director Foreword The Federal Information Processing Standards Publication Series of the National Institute of Standards and Technology (NIST) is the official publication relating to standards and guidelines adopted and promulgated under the provisions of Section 111 (d) of the Federal Property and Administrative Services Act of 1949 as amended by the Computer Security Act of 1987, Public Law 100-235. These mandates have given the Secretary of Commerce and NIST important responsibilities for improving the utilization and management of computer and related telecommunications systems in the Federal Government. The NIST, through its Computer Systems Laboratory, provides leadership, technical guidance, -
Identifying and Defining Relationships: Techniques for Improving Student Systemic Thinking
AC 2011-897: IDENTIFYING AND DEFINING RELATIONSHIPS: TECH- NIQUES FOR IMPROVING STUDENT SYSTEMIC THINKING Cecelia M. Wigal, University of Tennessee, Chattanooga Cecelia M. Wigal received her Ph.D. in 1998 from Northwestern University and is presently a Professor of Engineering and Assistant Dean of the College of Engineering and Computer Science at the University of Tennessee at Chattanooga (UTC). Her primary areas of interest and expertise include complex process and system analysis, process improvement analysis, and information system analysis with respect to usability and effectiveness. Dr. Wigal is also interested in engineering education reform to address present and future student and national and international needs. c American Society for Engineering Education, 2011 Identifying and Defining Relationships: Techniques for Improving Student Systemic Thinking Abstract ABET, Inc. is looking for graduating undergraduate engineering students who are systems thinkers. However, genuine systems thinking is contrary to the traditional practice of using linear thinking to help solve design problems often used by students and many practitioners. Linear thinking has a tendency to compartmentalize solution options and minimize recognition of relationships between solutions and their elements. Systems thinking, however, has the ability to define the whole system, including its environment, objectives, and parts (subsystems), both static and dynamic, by their relationships. The work discussed here describes two means of introducing freshman engineering students to thinking systemically or holistically when understanding and defining problems. Specifically, the modeling techniques of Rich Pictures and an instructor generated modified IDEF0 model are discussed. These techniques have roles in many applications. In this case they are discussed in regards to their application to the design process. -
Foundations of the Unified Modeling Language
Foundations of the Unified Modeling Language. CLARK, Anthony <http://orcid.org/0000-0003-3167-0739> and EVANS, Andy Available from Sheffield Hallam University Research Archive (SHURA) at: http://shura.shu.ac.uk/11889/ This document is the author deposited version. You are advised to consult the publisher's version if you wish to cite from it. Published version CLARK, Anthony and EVANS, Andy (1997). Foundations of the Unified Modeling Language. In: 2nd BCS-FACS Northern Formal Methods Workshop., Ilkley, UK, 14- 15 July 1997. Springer. Copyright and re-use policy See http://shura.shu.ac.uk/information.html Sheffield Hallam University Research Archive http://shura.shu.ac.uk Foundations of the Unified Modeling Language Tony Clark, Andy Evans Formal Methods Group, Department of Computing, University of Bradford, UK Abstract Object-oriented analysis and design is an increasingly popular software development method. The Unified Modeling Language (UML) has recently been proposed as a standard language for expressing object-oriented designs. Unfor- tunately, in its present form the UML lacks precisely defined semantics. This means that it is difficult to determine whether a design is consistent, whether a design modification is correct and whether a program correctly implements a design. Formal methods provide the rigor which is lacking in object-oriented design notations. This provision is often at the expense of clarity of exposition for the non-expert. Formal methods aim to use mathematical techniques in order to allow software development activities to be precisely defined, checked and ultimately automated. This paper aims to present an overview of work being undertaken to provide (a sub-set of) the UML with formal semantics. -
Using Telelogic DOORS and Microsoft Visio to Model and Visualize Complex Business Processes
Using Telelogic DOORS and Microsoft Visio to Model and Visualize Complex Business Processes “The Business Driven Application Lifecycle” Bob Sherman Procter & Gamble Pharmaceuticals [email protected] Michael Sutherland Galactic Solutions Group, LLC [email protected] Prepared for the Telelogic 2005 User Group Conference, Americas & Asia/Pacific http://www.telelogic.com/news/usergroup/us2005/index.cfm 24 October 2005 Abstract: The fact that most Information Technology (IT) projects fail as a result of requirements management problems is common knowledge. What is not commonly recognized is that the widely haled “use case” and Object Oriented Analysis and Design (OOAD) phenomenon have resulted in little (if any) abatement of IT project failures. In fact, ten years after the advent of these methods, every major IT industry research group remains aligned on the fact that these projects are still failing at an alarming rate (less than a 30% success rate). Ironically, the popularity of use case and OOAD (e.g. UML) methods may be doing more harm than good by diverting our attention away from addressing the real root cause of IT project failures (when you have a new hammer, everything looks like a nail). This paper asserts that, the real root cause of IT project failures centers around the failure to map requirements to an accurate, precise, comprehensive, optimized business model. This argument will be supported by a using a brief recap of the history of use case and OOAD methods to identify differences between the problems these methods were intended to address and the challenges of today’s IT projects. -
Functions As Models Chapter Outline
www.ck12.org CHAPTER 7 Functions as Models Chapter Outline 7.1 REVIEW OF FUNCTIONS 7.2 CHOOSING A FUNCTION MODEL 136 www.ck12.org Chapter 7. Functions as Models 7.1 Review of Functions Learning Objectives • Review the definition and notation for a function. • Understand how functions are a special class of relations. • Recognize that a function can be represented as an ordered pair, an equation or a graph. • Review function families that we will use to model relationships in our data. Definition We start with remembering the definition of a function. A function is a set of ordered pairs in which the first coordinate, usually x, matches with exactly one second coordinate, y. Equations that follow this definition can be written in function notation. The y coordinate represents the dependent variable, meaning the values of this variable depend upon what is substituted for the other variable. A function can be expressed as an equation, as shown below. In the equation, f represents the function name and (x) represents the variable. In this case the parentheses do not mean multiplication; rather, they separate the function name from the independent variable. input # f (x) = y out put |{z} f unction box You may have seen functions represented by a function machine. These emphasize the fact that functions are rules that explain how the input and output are related. For example, the function below triples the value of the input (x) and subtracts 1 from it. If 3 is fed into the machine, 3(3) − 1 = 8 comes out. 137 7.1.