scholarly journals Hyper Space Exploration A Multicriterial Quantitative Trade-Off Analysis for System Design in Complex Environment

2018 ◽  
Author(s):  
Herbert Palm ◽  
Jorg Holzmann
Keyword(s):  
System Design ◽  
Space Exploration ◽  
Complex Environment ◽  
Trade Off ◽  
Hyper Space

Light Optical System Design with Wide Spectral Band, Large Field of View for Deep Space Exploration

2015 ◽  
Vol 44 (1) ◽  
pp. 122001
Author(s):  
孟庆宇 MENG Qing-yu ◽  
董吉洪 DONG Ji-hong ◽  
曲洪丰 QU Hong-feng ◽  
王维 WANG Wei ◽  
曹智睿 CAO Zhi-rui
Keyword(s):  
System Design ◽  
Optical System ◽  
Space Exploration ◽  
Spectral Band ◽  
Field Of View ◽  
Large Field ◽  
Deep Space ◽  
Optical System Design ◽  
Deep Space Exploration

scholarly journals Epistatic Transcription Factor Networks Differentially Modulate Arabidopsis Growth and Defense

Genetics ◽  
2019 ◽  
Vol 214 (2) ◽  
pp. 529-541 ◽  
Author(s):  
Baohua Li ◽  
Michelle Tang ◽  
Céline Caseys ◽  
Ayla Nelson ◽  
Marium Zhou ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Energy Costs ◽  
Complex Environment ◽  
Simple Correlation ◽  
Trade Off ◽  
Coordination Model ◽  
Trade Offs ◽  
High Throughput Phenotyping ◽  
Transcription Factor Networks ◽  
External Signals

Plants integrate internal and external signals to finely coordinate growth and defense for maximal fitness within a complex environment. A common model suggests that growth and defense show a trade-offs relationship driven by energy costs. However, recent studies suggest that the coordination of growth and defense likely involves more conditional and intricate connections than implied by the trade-off model. To explore how a transcription factor (TF) network may coordinate growth and defense, we used a high-throughput phenotyping approach to measure growth and flowering in a set of single and pairwise mutants previously linked to the aliphatic glucosinolate (GLS) defense pathway. Supporting a link between growth and defense, 17 of the 20 tested defense-associated TFs significantly influenced plant growth and/or flowering time. The TFs’ effects were conditional upon the environment and age of the plant, and more critically varied across the growth and defense phenotypes for a given genotype. In support of the coordination model of growth and defense, the TF mutant’s effects on short-chain aliphatic GLS and growth did not display a simple correlation. We propose that large TF networks integrate internal and external signals and separately modulate growth and the accumulation of the defensive aliphatic GLS.

Many-Attribute Decision Making Using Iterative Attribute Subsets

2016 ◽  
Author(s):  
Laura Ziegler ◽  
Kemper Lewis
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Decision Problems ◽  
Trade Off ◽  
Current Design ◽  
Multi Attribute Decision Making

A unique set of cognitive and computational challenges arise in large-scale decision making, in relation to trade-off processing and design space exploration. While several multi-attribute decision making methods exist in the current design literature, many are insufficient or not fully explored for many-attribute decision problems of six or more attributes. To address this scaling in complexity, the methodology presented in this paper strategically elicits preferences over iterative attribute subsets while leveraging principles of the Hypothetical Equivalents and Inequivalents Method (HEIM). A case study demonstrates the effectiveness of the approach in the construction of a systematic representation of preferences and the convergence to a single ‘best’ alternative.

scholarly journals A New Mechanism for Soft Landing in Robotic Space Exploration

Robotics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 103 ◽  
Author(s):  
Stefano Seriani
Keyword(s):  
Solar System ◽  
Kinetic Energy ◽  
Potential Energy ◽  
System Design ◽  
Dynamic Models ◽  
Space Exploration ◽  
Reactive Force ◽  
Soft Landing ◽  
Theoretical Limit ◽  
Robotic Space Exploration

Landing safely is the key to successful exploration of the solar system; the mitigation of the connected effects of collision in mechanical systems relies on the conversion of kinetic energy into heat or potential energy. An effective landing-system design should minimize the acceleration acting on the payload. In this paper, we focus on the application of a special class of nonlinear preloaded mechanisms, which take advantage of a variable radius drum (VRD) to produce a constant reactive force during deceleration. Static and dynamic models of the mechanism are presented. Numerical results show that the system allows for very efficient kinetic energy accumulation during impact, approaching the theoretical limit.

Modelling WSNs Using OMNeT++

2012 ◽  
pp. 319-340 ◽  
Author(s):  
Erwin Anggadjaja ◽  
Ian V. McLoughlin
Keyword(s):  
Wireless Sensor Networks ◽  
System Design ◽  
Failure Modes ◽  
The Other ◽  
Wireless Sensor ◽  
Trade Off ◽  
Sensing Systems ◽  
Trade Offs ◽  
Comprehensive Comparison ◽  
Potential Failure

Wireless sensor networks (WSNs) have been used to observe and monitor many environments for specific purposes and in many ways over the past few years. A number of operational trade-offs are possible when planning a WSN, influencing coverage, bandwidth, redundancy, lifetime, expandability, and so on. However, for systems in potentially hazardous locations or those experiencing restricted access, system unreliability tends to be the greatest operational concern. In the process of creating reliable WSNs for hazardous locations, it is highly desirable to ensure both an accurate and a reliable system design prior to deployment, and with as little unnecessary trade-off as possible. Especially as sensing systems become larger and more complex, and potential failure modes increase, this becomes more difficult to achieve. In an attempt to answer the question of reliability assurance, the authors investigate WSNs in the context of accurate and fast modelling of such networks. A comprehensive comparison of three modelling tools (ns-2, OPNET, and OMNeT++) is explored in this chapter, concluding that OMNeT++ is worthy of study as an alternative to the other two more established tools. As an illustration of the use of OMNeT++, two modelling schemes are simulated and compared against the theory to determine both bit-level correctness, but also to demonstrate ease of modelling and analysis.

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