scholarly journals Efficient nonlinear Bayesian survey design using DN optimization

Geophysics ◽  
2011 ◽  
Vol 76 (2) ◽  
pp. Q1-Q8 ◽  
Author(s):  
Darrell Coles ◽  
Andrew Curtis
Keyword(s):  
Design Theory ◽  
Survey Design ◽  
Design Method ◽  
Petroleum Reservoir ◽  
Design Problems ◽  
Bayesian Design ◽  
Practical Advantage ◽  
Practical Possibility ◽  
Nonlinear Design ◽  
And Storage

A new method for fully nonlinear, Bayesian survey design renders the optimization of industrial-scale geoscientific surveys as a practical possibility. The method, DN optimization, designs surveys to maximally discriminate between different possible models. It is based on a generalization to nonlinear design problems of the D criterion (which is for linearized design problems). The main practical advantage of DN optimization is that it uses efficient algorithms developed originally for linearized design theory, resulting in lower computing and storage costs than for other nonlinear Bayesian design techniques. In a real example in which we optimized a seafloor microseismic sensor network to monitor a fractured petroleum reservoir, we compared DN optimization with two other networks: one proposed by an industrial contractor and one optimized using a linearized Bayesian design method. Our technique yielded a network with superior expected data quality in terms of reduced uncertainties on hypocenter locations.

In Search of Effective Design Problems for Design Research

2015 ◽  
Author(s):  
Fabien Durand ◽  
Michael E. Helms ◽  
Joanna Tsenn ◽  
Daniel A. McAdams ◽  
Julie S. Linsey
Keyword(s):  
Design Problem ◽  
Design Theory ◽  
Design Research ◽  
Design Thinking ◽  
Design Method ◽  
Evaluation Metrics ◽  
Or Education ◽  
Design Problems ◽  
Early Results ◽  
Thinking Tools

Much design theory research seeks to create, evaluate, improve or optimize design methods. Whether that research focuses on design thinking, tools, methods, or education, short design problems are often provided to participants in order to evaluate the effects of the variables being tested. When designing and creating such problems, certain characteristics may influence design outcomes: experience and exposure to the design problems vary between participants, and each problem may be more or less favorable to the controlled variable. In this paper we conjecture a small set of design problem characteristics that may influence experimental outcomes, and we discuss two experiments targeted at uncovering this influence. In our first experiment we examine differences in evaluation metrics between two design problems. In a follow up experiment we correlate the hypothesized characteristics to the variances in experiment outcome. These early results assist to further compare and contrast the empirical differences in common evaluation metrics, as well as show how familiarity and extent of the subjects’ knowledge of a design problem influence these metrics. We also expose the potential for interaction between the design method and the design problem.

Application of Intelligent Optimization Algorithm in Mechanical Design

2015 ◽  
Vol 713-715 ◽  
pp. 2049-2052
Author(s):  
Sha Sha Dou
Keyword(s):  
Design Theory ◽  
Optimization Design ◽  
Mechanical Design ◽  
Design Method ◽  
Computational Effort ◽  
Ant Algorithm ◽  
Design Problems ◽  
Intelligent Optimization Algorithm ◽  
Design Requirements ◽  
Mechanical Optimization

Mechanical optimization design is a new design method in the development foundation of the modern mechanical design theory, the application of optimization design in mechanical design can make the scheme achieve some optimization results in the design requirements specified, without consuming too much computational effort. The corresponding mathematical models of ant algorithm and Cellular ant algorithm are established, according to the actual mechanical design problems, and used to solve the established mathematical model by computer, so as to obtains the optimal design scheme.

A Local Linear Wavelet Neural Network Based on a Bayesian Design Method

2009 ◽  
Vol 129 (7) ◽  
pp. 1356-1362
Author(s):  
Kunikazu Kobayashi ◽  
Masanao Obayashi ◽  
Takashi Kuremoto
Keyword(s):  
Neural Network ◽  
Design Method ◽  
Wavelet Neural Network ◽  
Bayesian Design ◽  
Local Linear

Nonlinear Design Model for Multi-Threshold Accelerometer Utilizing Magnetic Induced Multistable Mechanisms

2018 ◽  
Author(s):  
Jian Zhao ◽  
Yu Huang ◽  
Pengbo Liu ◽  
Qifei Fang ◽  
Renjing Gao
Keyword(s):  
Inertial Sensors ◽  
Coupling Effect ◽  
Design Method ◽  
Threshold Value ◽  
Consumer Electronics ◽  
Design Model ◽  
Acceleration Pulse ◽  
Locking Mechanism ◽  
Nonlinear Design ◽  
Controlling Elements

Different from traditional accelerometer, multi-threshold acceleration switch can be triggered to different working states by external accelerations without complex auxiliary circuits and controlling elements, which has great application potentials in aerospace, vehicle safety and consumer electronics. In this paper, a novel multi-threshold acceleration switch with anti-overloading function is designed and fabricated by incorporating both magnetic multi-stable structures and compliant cantilever contacts, which also can be used to distinguish specific acceleration pulse. To enhance the contact reliability, the magnetic compliant locking mechanism is introduced to prevent bouncing back phenomenon under overload acceleration. Considering the air-damping and multi-magnetic fields coupling effect, the dynamic design model is proposed for analyzing the nonlinear switch response. Then, threshold accelerations can be determined as ac1 = 3.78g, ac2 = 10.2g and ac3 = 6.95g in one direction while threshold accelerations in opposite direction are ac4 = 4.9g, ac5 = 8.47g and ac6 = 5.6g. The switch shows excellent threshold acceleration detection capability, and the inertial switch keeps open while the external acceleration is 0.2g less than the predefined threshold value. The experimental results show that the threshold acceleration with specific pulse width can be accurately identified, and the switch can bear strong overload acceleration comparing to traditional switches. Consequently, the proposed design method provides a new way for intelligent mechanical inertial sensors.

scholarly journals A Methodology for Architecture Theory and Practices Research: Design Practices Evaluation Studio

2019 ◽  
Vol 8 (4) ◽  
pp. 195
Author(s):  
Fathi Bashier
Keyword(s):  
Knowledge Base ◽  
Design Process ◽  
Design Theory ◽  
Design Research ◽  
Future Research ◽  
Design Problems ◽  
Need To Evaluate ◽  
Research Goal ◽  
Architecture Theory ◽  
The Way

This article presents the initial findings of the design research carried out during the last semester by the master of architecture students at Wollega University, Ethiopia. The research goal is the creation of new knowledge to improve the design process. The dissatisfaction with the outcomes of the conventional design approach has led to rising concern and growing awareness of the need to evaluate design outcomes and to learn from the failure. That inadequate understanding of design problems leads frequently to design failure suggests that the evaluation of design outcomes can be made by assessing the way architects develop understanding of design problems, and how they use that understanding for developing knowledge base of the design process. The assumption is that architects’ understanding of design problems can be assessed by examining the way data is used for developing the knowledge base of the design process. The students surveyed the architects’ views in order to produce knowledge, which can be used to develop methods for discovering how inadequate data contributes to miss-informed design decisions; and methods for assessing the architects’ understanding of design problems. In this article the survey findings are analyzed and documented; and, the way the insight drawn from the inquiry can be used in future research for developing design theory, is discussed.Keywords: design outcomes, failure, evaluation, questionnaire, analyze

Mechanics Analysis and Optimized Design of Aircraft Skin Pass Damage Repair

2014 ◽  
Vol 945-949 ◽  
pp. 306-309
Author(s):  
Ting Jian Dong ◽  
Jin Chen ◽  
Hua Peng Ding
Keyword(s):  
Empirical Equation ◽  
Design Method ◽  
Mechanical Analysis ◽  
Critical Parameters ◽  
Optimized Design ◽  
Design Problems ◽  
Damage Repair ◽  
Skin Repair ◽  
Aircraft Skin ◽  
Airline Company

Against the sticking patch design problems of pass damage of aircraft skin repair, by using the calculation method of mechanical analysis, the stress analysis of pass damage is completed. The calculation methods are used quantitatively to determine the sticking patch dimension of pass damage repair, which is compared with analysis sticking patch design method calculated by the repair empirical equation of aircraft skin of Airline Company. The reason of error is analyzed and the measure to correct empirical equation method is put forward. The optimization of the critical parameters of pass damage empirical equation is completed.

BIOACTIVE DEVICES AS SELF-SUFFICIENT SYSTEMS FOR ENERGY PRODUCTION IN ARCHITECTURE

2021 ◽  
Vol 16 (2) ◽  
pp. 3-22
Author(s):  
Yomna K. Abdallah ◽  
Alberto T. Estevez
Keyword(s):  
Co2 Emissions ◽  
Microbial Fuel Cells ◽  
Design Theory ◽  
Large Scale ◽  
Waste Treatment ◽  
Design Method ◽  
Sustainable Use ◽  
Ease Of Use ◽  
Renewable Energy Resources ◽  
Efficiency Cost

ABSTRACT Using bioenergy systems in architecture provides energy by means of negative emissions technologies (NETs). It plays an important role in stabilizing CO2 emissions at low levels. This depends on options of low life cycle emissions (for instance, a sustainable use of biomass residues), and on outcomes that are site-specific and rely on efficient integrated systems that convert biomass into bioenergy. The objective of this study is to develop self-sufficient systems that generate bioelectricity and offer safety, electricity generation efficiency, cost-effectiveness, waste treatment, integration in domestic use, ease of use, reproducibility and availability. The study also intends to elaborate a general design method of embedding and utilizing microorganisms into architectural elements to achieve design ecology, introducing a multidisciplinary research application through a design theory aspect. The study is based on previous experimental work conducted by the authors. Microbial fuel cell technology was applied to exploit the natural potential of a fungal strain that was identified and optimized to be implemented in microbial fuel cells (MFCs) to generate electricity. The outcomes were included in the self-sufficient cluster design that meets the aforementioned conditions. The novelty of this study is the direct use of a bioreactor of MFCs in a design application for bioelectricity production. It aims to reduce the currently high global CO2 emissions that come from the energy supply sector (47%) and from the building sector (3%), as well as to eliminate the need for large-scale infrastructure intervention. This self-sufficient bio-electricity cluster therefore outweighs other abiotic renewable energy resources such as solar energy or wind power.

Constraint Manifold Synthesis of Planar Linkages

1996 ◽  
Author(s):  
A. P. Murray ◽  
J. M. McCarthy
Keyword(s):  
Design Theory ◽  
Geometric Constraints ◽  
Design Parameters ◽  
Design Problems ◽  
Constraint Manifold ◽  
Linkage Design ◽  
Versatile Tool ◽  
Algebraic Constraints ◽  
Planar Linkages

Abstract This paper formulates the design theory of planar four-bar linkages using the planar form of dual quaternions known as planar quaternions. The set of positions reachable by the floating link of a dyad is a quadratic algebraic surface called a constraint manifold. Determining the coefficients of the quadratic form defining this manifold is equivalent to setting the design parameters of the linkage. If the task of the linkage is specified as geometric constraints on the location of the floating link, then algebraic constraints are obtained on the quaternion components. We seek the coefficients of the constraint manifold that satisfies these constraints. The result is an algebraic formulation that is symmetric in its characterization of the linkage and task, and provides a versatile tool for the formulation and solution of linkage design problems.

A Modeling and Design Method for Flexible Manufacturing System Controller Software

1996 ◽  
Author(s):  
Paul C. Xirouchakis
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Design Method ◽  
Conveyor Belt ◽  
Computer Integrated Manufacturing ◽  
Concurrent Software ◽  
Material Transportation ◽  
Analysis Models ◽  
System Controller ◽  
And Storage

Abstract “Entity-life modeling” (ELM) is a general method for the modeling and design of concurrent software. One area where it can applied is for the control software for flexible manufacturing systems (FMS). The application of ELM allows the integration and overall control of the operation of the numerically controlled machinery, the material transportation and storage facilities into automated factories within the context of computer integrated manufacturing (CIM). The development of flexible manufacturing has been hampered by the lack of such a general approach to FMS software design. ELM is based on the principle that processes and objects in the software are patterned after concurrent “threads of events” and objects in the problem domain. A job in an FMS represents such a thread with events such as “pick from storage”, “place on stand”, etc., which all occur sequentially and with certain time intervals. Several job threads are in progress simultaneously as different jobs are being processed. In the software, a thread of events is represented by a process, such as an Ada task. The direct coupling between the analysis and an efficient control-system software implementation is an advantage over other analysis models, such as Petri nets. A simple FMS is used as an example. It consists of a storage facility and a number of numerically controlled workstations. A conveyor belt is used for the transportation of parts between storage and workstations and between workstations.

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