A Systematic Methodology for Measuring and Designing C2 Organization

2006 ◽  
Author(s):  
Xiaohong Peng ◽  
Dongsheng Yang ◽  
Zhong Liu ◽  
Jincai Huang
Keyword(s):  
Systematic Methodology

A Systematic Methodology for Doing Qualitative Research

2020 ◽  
pp. 002188632098271
Author(s):  
Denny Gioia
Keyword(s):  
Qualitative Research ◽  
Case Studies ◽  
Behavioral Science ◽  
Methodological Approach ◽  
Scientific Rigor ◽  
Systematic Methodology ◽  
Applicable Knowledge

The Journal of Applied Behavioral Science is in the enviable position of being a go-to journal for many readers seeking useable insights for solving practical problems in managing modern organizations. A perennial source of such knowledge has been case studies, but case studies have been treated as questionable sources of widely applicable knowledge because they have been assumed to be idiosyncratic and to lack adequate “scientific” rigor. In this brief article, I argue for using a methodological approach to studying single cases that addresses both these thorny problems.

Mapping social-ecological injustice in Melbourne, Australia: An innovative systematic methodology for planning just cities

2021 ◽  
Vol 104 ◽  
pp. 105361
Author(s):  
Melissa Pineda-Pinto ◽  
Christian A. Nygaard ◽  
Manoj Chandrabose ◽  
Niki Frantzeskaki
Keyword(s):  
Social Ecological ◽  
Systematic Methodology

A Systematic Method for the Selection of Independent Variables in the Investigation of Complex Systems

1988 ◽  
Vol 32 (17) ◽  
pp. 1179-1182 ◽  
Author(s):  
P. Jay Merkle ◽  
Douglas B. Beaudet ◽  
Robert C. Williges ◽  
David W. Herlong ◽  
Beverly H. Williges
Keyword(s):  
Large Scale ◽  
Subjective Ratings ◽  
Systematic Method ◽  
Independent Variables ◽  
Integrated Strategy ◽  
Literature Reviews ◽  
Systematic Methodology ◽  
Research Problems ◽  
Inquiry System ◽  
Selection Of

This paper describes a systematic methodology for selecting independent variables to be considered in large-scale research problems. Five specific procedures including brainstorming, prototype interface representation, feasibility/relevance analyses, structured literature reviews, and user subjective ratings are evaluated and incorporated into an integrated strategy. This methodology is demonstrated in the context of designing the user interface for a telephone-based information inquiry system. The procedure was successful in reducing an initial set of 95 independent variables to a subset of 19 factors that warrant subsequent detailed analysis. These results are discussed in terms of a comprehensive sequential research methodology useful for investigating human factors problems.

scholarly journals Model-Based Control Design and Integration of Cyberphysical Systems: An Adaptive Cruise Control Case Study

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Emeka Eyisi ◽  
Zhenkai Zhang ◽  
Xenofon Koutsoukos ◽  
Joseph Porter ◽  
Gabor Karsai ◽  
...  
Keyword(s):  
Adaptive Cruise Control ◽  
Control Design ◽  
Systematic Design ◽  
Cyberphysical Systems ◽  
Cruise Control ◽  
Automotive Control ◽  
Experimental Platform ◽  
Complex Interactions ◽  
Systematic Methodology

The systematic design of automotive control applications is a challenging problem due to lack of understanding of the complex and tight interactions that often manifest during the integration of components from the control design phase with the components from software generation and deployment on actual platform/network. In order to address this challenge, we present a systematic methodology and a toolchain using well-defined models to integrate components from various design phases with specific emphasis on restricting the complex interactions that manifest during integration such as timing, deployment, and quantization. We present an experimental platform for the evaluation and testing of the design process. The approach is applied to the development of an adaptive cruise control, and we present experimental results that demonstrate the efficacy of the approach.

A Systematic Methodology for Evaluating the Error Resilience of GPGPU Applications

2016 ◽  
Vol 27 (12) ◽  
pp. 3397-3411 ◽  
Author(s):  
Bo Fang ◽  
Karthik Pattabiraman ◽  
Matei Ripeanu ◽  
Sudhanva Gurumurthi
Keyword(s):  
Error Resilience ◽  
Systematic Methodology

Condition Monitoring Methodology for Manufacturing and Design

1998 ◽  
Author(s):  
Irem Y. Tumer ◽  
Kristin L. Wood ◽  
Ilene J. Busch-Vishniac
Keyword(s):  
Milling Process ◽  
Monitoring Methods ◽  
Design And Manufacturing ◽  
Systematic Methodology ◽  
Surface Deviations ◽  
Part Surface ◽  
Tool Vibrations ◽  
Changes Over Time ◽  
Part Production ◽  
Manufacturing Data

Abstract Part production requires constant monitoring to assure the effective manufacturing of high-quality components. The choice of monitoring methods can become a crucial factor in the decisions made during and prior to manufacturing. In an ideal world, designers and manufacturers will work together to interpret manufacturing and part data to assure the elimination of faults in manufacturing. However, manufacturing still lacks mathematically robust means of interpreting the manufacturing data so that a channel of communication can be established between design and manufacturing. To address part production concerns, we present a systematic methodology to interpret manufacturing data based on signals from manufacturing (e.g., tool vibrations, part surface deviations). These signals are assumed to contain a fingerprint of the manufacturing condition. The method presented in this paper is based on a mathematical transform to decompose the signals into their significant modes and monitor their changes over time. The methodology is meant to help designers and manufacturers make informed decisions about a machine and/or part condition. An example from a milling process is used to illustrate the method’s details.

Optimal Design of Forging Processes With Deformation and Temperature Constraints

1993 ◽  
Author(s):  
R. V. Grandhi ◽  
H. Cheng ◽  
S. S. Kumar
Keyword(s):  
Thermal Analyses ◽  
State Space Model ◽  
Linear Quadratic Regulator ◽  
Parameter Design ◽  
Linear Quadratic ◽  
Optimal Control Strategy ◽  
Time Control ◽  
Systematic Methodology ◽  
Element Approach ◽  
Nonisothermal Conditions

Abstract This paper presents a systematic methodology for the design of process parameters for nonisothermal forgings. The finite element approach is used for deformation and thermal analyses, and an optimal control strategy is used for the process parameter design. A state-space model is developed for representing the coupled deformation and thermal behavior using rigid viscoplastic formulation. Design constraints on strain-rates and temperature variation are imposed for achieving the desired forging conditions. The linear quadratic regulator (LQR) theory for finite time control is used in designing the ram velocity and initial die temperature. The approach is demonstrated on an axisymmetric disc forging and a plane strain channel section forging, under nonisothermal conditions.

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