Continuous design

About: Continuous design is a research topic. Over the lifetime, 361 publications have been published within this topic receiving 6163 citations.

IS education: the role of programming in undergraduate IS programs

Abstract: One of the most fundamental and most highly debated questions in Information Systems education is the role of programming in undergraduate IS programs. On one hand, there are strong arguments and precedents supporting not only the inclusion of programming in these programs but also a significant role for it. For example, both the most recent model curriculum (IS 2002) and many existing undergraduate IS programs include a significant programming component. IS 2002 incorporates a programming course with a highly complex name reflecting the ambiguity about the focus of the course ("Programming, Data, File, and Object Structures,") but it also includes two additional courses that have significant programming components ("Physical Design and Implementation with DBMS" and "Physical Design and Implementation in Emerging Environments"). The "Analysis and Logical Design" course is directly connected to application development/programming. A closer evaluation of the course descriptions reveals a very ambitious agenda; the topics include items such as "programming in traditional and visual environments that incorporate event-driven, object-oriented design," "algorithm development," "program correctness, verification, and validation," "structured and object design approaches," and "structured, event driven, and object oriented application design." This choice of wording, which is practically unchanged from IS'97, signifies a strong commitment to developing the students' programming and software development capabilities. In addition, the general criteria for accrediting undergraduate computing programs (including those in information systems) clearly include programming activities (3 (c)) "The program enables students to achieve, by the time of graduation, ... an ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs.

Sizing, Shape, and Topology Design Optimization of Trusses Using Genetic Algorithm

Abstract: A procedure is developed for the combined sizing, shape, and topology design of space trusses. Discrete and continuous values are used to define the cross-sectional areas of the members. The nodal locations are treated as continuous design variables using the hybrid natural approach for shape optimal design. Element connectivity and boundary conditions are treated as Boolean design variables in the context of topology design. The traditional genetic algorithm is modified to handle the problem formulation. Simple concepts are used to accelerate convergence and reduce the computational effort. Numerical examples are solved to illustrate the proposed methodology. Several conclusions drawn from the research results are presented along with some thoughts on computational strategies.

Designing organizations: An executive briefing on strategy, structure, and process.

Abstract: Introduction: Four Immutable Forces Shaping Today's Organizations A FRAMEWORK FOR ORGANIZATIONAL DESIGN Choosing an Effective Design Matching Strategy and Structure Linking Processes to Coordination Needs Creating and Integrating Group Processes PATHWAYS TO NEW ORGANIZATIONAL FORMS Using Design as an Evolutionary Change Agent Creating a Virtual Corporation Leading and Integrating a Networked Organization Organizing the Continuous Design Process .

Method for tuning a digital design for synthesized random logic circuit macros in a continuous design space with optional insertion of multiple threshold voltage devices

Abstract: A Digital Design Method which may be automated is for obtaining timing closure in the design of large, complex, high-performance digital integrated circuits. The methodincludes the use of a tuner on random logic macros that adjusts transistor sizes in a continuous domain. To accommodate this tuning, logic gates are mapped to parameterized cells for the tuning and then back to fixed gates after the tuning. Tuning is constrained in such a way as to minimize “binning errors” when the design is mapped back to fixed cells. Further, the critical sections of the circuit are marked in order to make the optimization more effective and to fit within the problem-size constraints of the tuner. A specially formulated objective function is employed during the tuning to promote faster global timing convergence, despite possibly incorrect initial timing budgets. The specially formulated objective function targets all paths that are failing timing, with appropriate weighting, rather than just targeting the most critical path. Finally, the addition of multiple threshold voltage gates allows for increased performance while limiting leakage power.