Micro Autonomous Surface Vessels – Opportunities and Development

2015 ◽  
Author(s):  
Bradley Bishop ◽  
Paul Miller

In this paper, we develop a set of design principles for micro ASV systems, defined as surface vessels less than eight feet long with a weight of less than 102 lbs, fully loaded. We outline the key properties of micro ASV systems, discuss potential missions for such devices, and address key concepts in vessel design and cooperative control of groups of micro ASV systems in a capability-based, mission-driven design space. Finally we outline key needs for the advancement of this type of vessel in operational environments.

Author(s):  
A. Hergt ◽  
U. Siller

The development of modern axial compressors has already reached a high level. Therefore an enlargement of the design space by means of new or advanced aerodynamic methods is necessary in order to achieve further enhancements of performance and efficiency. The tandem arrangement of profiles in a transonic compressor blade row is such a method. For an efficient industrial application the knowledge of the fundamental design principles is needed. This paper presents the recent research work on transonic compressor tandem profiles at DLR Institute of Propulsion Technology. It deals with the fundamental description of the operation principles of a modern transonic compressor tandem cascade. By considering these principles and based on an optimization database with over 1200 members design recommendations are developed.


Author(s):  
Miguel Á. Valderrama-Gómez ◽  
Jason G. Lomnitz ◽  
Rick A. Fasani ◽  
Michael A. Savageau

SummaryMechanistic models of biochemical systems provide a rigorous kinetics-based description of various biological phenomena. They are indispensable to elucidate biological design principles and to devise and engineer systems with novel functionalities. To date, mathematical analysis and characterization of these models remain a challenging endeavor, the main difficulty being the lack of information for most system parameters. Here, we introduce the Design Space Toolbox v.3.0 (DST3), a software implementation of the Design Space formalism that enables mechanistic modeling of complex biological processes without requiring previous knowledge of the parameter values involved. This is achieved by making use of a phenotype-centric modeling approach, in which the system is first decomposed into a series of biochemical phenotypes. Parameter values realizing phenotypes of interest are predicted in a second step. DST3 represents the most generally applicable implementation of the Design Space formalism to date and offers unique advantages over earlier versions. By expanding the capabilities of the Design Space formalism and streamlining its distribution, DST3 represents a valuable tool for elucidating biological design principles and guiding the design and optimization of novel synthetic circuits.


Author(s):  
Philippe Kruchten

We present a simple conceptual model of what constitutes complexity and simplicity in design engineering. At the core of the model are the three concepts of 1) scale (how many things are there), 2) diversity (how many different kinds of things are there), and 3) connectivity (how many relationships are there between things). The model distinguishes essential from accidental complexity (i.e., the complexity that we, engineers, add while designing), and intrinsic versus perceived complexity. The model also articulates the complexity of the thing (or system) we design or observe versus the complexity of the community around the system: its users, designers, manufacturers, sellers, other systems, etc. This model is then used to articulate a set of heuristics to address complexity: reduce, hide, shrink, organize, explain, expose.. Finally we open the toolkits of engineers in various disciplines to identify strategies, methods, or tools that they can use to address complexity: design principles, guidelines, design methods, patterns, tactics, frameworks, etc. Approaches such as modeling, abstraction, partitioning can then be described in terms of our key concepts and heuristics; e.g., “abstraction reduces perceived complexity”. This conceptual model helps engineering students to better reflect on their practices of design, and how these practices vary across disciplines. It also provides a more systematic approach to answering the never ending question: “how can you make this simpler?”


2021 ◽  
Vol 5 (CHI PLAY) ◽  
pp. 1-23
Author(s):  
Melissa J. Rogerson ◽  
Lucy A. Sparrow ◽  
Martin R. Gibbs

Despite increasing interest in the use of digital tools in boardgames for both commercial and research purposes, little research has to date explored how and why these tools are used. We interviewed 18 professionals working in the boardgame industry to explore the combination of digital tools and tabletop play, which affords new experiences and opportunities for both players and designers. We generated five key themes from the interview data. Participants engaged with ontological questions about the fundamental nature of games; they showed strong opinions about the use of digital tools; they discussed the impacts of digital tools for game design as well as in their design practice; they raised concerns about the costs to develop and maintain such tools; and they considered how they affect the in-game player experience. From these themes, we generate five design principles for digital tools for boardgame play: traceability, completeness, integration, privacy, and materiality. Grounded in empirical data, these design principles guide game designers and researchers seeking to explore this novel design space. Our research focuses attention on the role of digital components in play and on the need for thoughtful implementation that considers the entire lifecycle of the game, from development through publication and, ultimately, archival access.


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