scholarly journals Two-stage transmitter precoding based on data-driven code-hopping and partial zero forcing beamforming for MC-CDMA communications

2009 ◽  
Vol 8 (7) ◽  
pp. 3634-3645 ◽  
Author(s):  
Christos Masouros ◽  
Emad Alsusa
Keyword(s):  
Data Driven ◽  
Zero Forcing ◽  
Two Stage ◽  
Transmitter Precoding

A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem

2016 ◽  
Vol 12 (3) ◽  
pp. 924-932 ◽  
Author(s):  
Yu Wang ◽  
Yizhen Peng ◽  
Yanyang Zi ◽  
Xiaohang Jin ◽  
Kwok-Leung Tsui
Keyword(s):  
Data Driven ◽  
Two Stage ◽  
Degradation Problem

A data-driven two-stage maintenance framework for degradation prediction in semiconductor manufacturing industries

2015 ◽  
Vol 85 ◽  
pp. 414-422 ◽  
Author(s):  
Ming Luo ◽  
Heng-Chao Yan ◽  
Bin Hu ◽  
Jun-Hong Zhou ◽  
Chee Khiang Pang
Keyword(s):  
Semiconductor Manufacturing ◽  
Manufacturing Industries ◽  
Data Driven ◽  
Two Stage

scholarly journals A Quantitative Framework for the Analysis of Two-Stage Exams

2018 ◽  
Vol 7 (4) ◽  
pp. 33 ◽  
Author(s):  
Andrew Martin
Keyword(s):  
Student Performance ◽  
Group Composition ◽  
Comprehensive Evaluation ◽  
Quantitative Estimation ◽  
Data Driven ◽  
Consensus Building ◽  
Two Stage ◽  
Positive Effects ◽  
Individual Preparation ◽  
Collaborative Skills

Two-stage exams have gained traction in education as a means of creating collaborative active-learning experiences in the classroom in a manner that advances learning, positively increases student engagement, and reduces test anxiety. Published analyses have focused almost exclusively on the increase in student scores from the first individual stage to the second collaboration stage and have shown clear positive effects on gains in student scores. Missing from these analyses is a comprehensive evaluation of the effects of individual preparation, the characteristics of questions, and small group composition on the outcomes two-stage exams. I developed a simple quantitative framework that provides a flexible approach for estimating and evaluating the effects of individuals, questions, and groups on student performance. Additionally, the framework yields statistics appropriate for making inferences about productive collaboration, consensus-building, and counter-productive interaction that happens within small groups. Analyses of 12 exams across two courses and 2 years using the quantitative framework revealed considerable variation for all three of these effects within and among exams. Overall, the results highlight the value of quantitative estimation of two-stage exams for gaining perspective on the effects of individuals, questions, and groups on student performance, and facilitates data-driven revision of assessments, curricula, and teaching strategies towards achieving gains in students' collaborative skills.  

A Two‐stage Bayesian Data‐driven Method to Improve Model Prediction

2021 ◽  
Author(s):  
Xiaozhuo Sun ◽  
Xiankui Zeng ◽  
Jichun Wu ◽  
Dong Wang
Keyword(s):  
Model Prediction ◽  
Data Driven ◽  
Two Stage ◽  
Improve Model

Fixed-order data-driven H∞ controller synthesis for flexible mechanical systems: Two-stage approach

2020 ◽  
pp. 014233122094093
Author(s):  
Ayhan Arda Araz ◽  
S. Çağlar Başlamışlı ◽  
Uğur Mertcan Özmarangoz
Keyword(s):  
Controller Design ◽  
Classical Model ◽  
Mechanical Systems ◽  
Open Loop ◽  
Data Driven ◽  
Unknown Parameters ◽  
Nyquist Diagram ◽  
Two Stage ◽  
Model Based ◽  
Fixed Order

In this paper, a two-stage method is introduced to design fixed-order data-driven [Formula: see text] controller for flexible mechanical systems. In the first stage of the proposed method, unknown parameters of anti-resonance filter that is added to the forward path of the control loop of the system to minimize resonant peaks, are calculated using frequency domain data obtained from open-loop system identification tests. In the second stage, a fixed-order data-driven [Formula: see text] controller is calculated by solving an optimization problem under convex [Formula: see text] constraints obtained based on the Nyquist diagram. With the proposed method, lower order controllers that meets the performance constraints of classical model-based [Formula: see text] problems can be synthesized without need of a parametric plant model. The method developed in this study is tested experimentally on a military stabilized platform and its performance is compared with a model-based [Formula: see text] controller design method.

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