Rapid Response! Investigating the Effects of Problem Definition on the Characteristics of Additively Manufactured Solutions for COVID-19

2021 ◽  
pp. 1-28
Author(s):  
Rohan Prabhu ◽  
Joseph Berthel ◽  
Jordan S. Masia ◽  
Nicholas Meisel ◽  
Timothy W. Simpson
Keyword(s):  
Low Complexity ◽  
Problem Definition ◽  
Rapid Response ◽  
High Complexity ◽  
Manufactured Solutions ◽  
Complexity Problem ◽  
Build Time ◽  
Rapid Prototyping And Manufacturing ◽  
Definition Of ◽  
Moderate Complexity

Abstract Designers from around the world have proposed numerous engineering design solutions for problems related to the COVID-19 pandemic, many of which leverage the rapid prototyping and manufacturing capabilities of additive manufacturing (AM). While some of these solutions are motivated by complex and urgent requirements (e.g., face masks), others are motivated by simpler and less urgent needs (e.g., hands-free door openers). Previous research suggests that problem definition influences the creativity of solutions generated for it. In this study, we investigate the relationship between the definition of problems related to the COVID-19 pandemic and the characteristics of AM solutions that were openly shared for these problems. Specifically, we analyze 26 AM solutions spanning three categories: (1) hands-free door openers (low complexity problem), (2) face shields (moderate complexity problem), and (3) face masks (high complexity problem). These designs were compared on (1) DfAM utilization, (2) manufacturability (i.e., build time, cost, and material usage), and (3) creativity. We see that the solutions designed for the high complexity problem, i.e., face masks, were least suitable for AM. Moreover, we see that solutions designed for the moderate complexity problem, i.e., face shields, had the lowest build time, build cost, and material consumption. Finally, we observe that the problem definition did not relate to the creativity of the AM solutions. In light of these findings, designers must sufficiently emphasize the AM suitability and manufacturability of their solutions when designing for urgent and complex problems in rapid response situations.

Vicarious Reward and Task Complexity as Determinants of Imitative Learning

1969 ◽  
Vol 25 (2) ◽  
pp. 531-534 ◽  
Author(s):  
Robert M. Liebert ◽  
Luis E. Fernandez
Keyword(s):  
Task Complexity ◽  
Low Complexity ◽  
High Complexity ◽  
Imitative Learning ◽  
Educational Task ◽  
Moderate Complexity ◽  
And Task ◽  
Vicarious Reward

The effects of task complexity and vicarious reward upon children's ability to learn a substantive educational task through modeling were investigated. After observing a model's performance, all Ss were offered direct reward for matching responses. Accuracy of imitative learning was inversely related to task complexity and facilitated by the presence of vicarious reward. However, as predicted, vicarious reward had a significant effect only for Ss in the high-complexity condition, tended to enhance the performance of Ss in the moderate-complexity condition, and had negligible effects for Ss exposed to the low-complexity task. These results are consistent with the hypothesis that vicarious and direct reward may operate additively, with the former serving primarily to enhance Ss' attention to the relevant modeling cues.

ALGEBRA OF PREDICATES AND RELATED GEOMETRIC MODELS CREATION IN REGARDS OF UNIFIED STATE EXAM IN INFORMATICS (RUSSIAN EGE)

2019 ◽  
pp. 40-47
Author(s):  
E. A. Mironchik
Keyword(s):  
Geometric Model ◽  
Main Idea ◽  
Formal Logic ◽  
High Complexity ◽  
Geometric Models ◽  
Complexity Problem ◽  
Logical Expression ◽  
State Examination

The article discusses the method of solving the task 18 on the Unified State Examination in Informatics (Russian EGE). The main idea of the method is to write the conditions of the problem utilizing the language of formal logic, using elementary predicates. According to the laws of logic the resulting complex logical expression would be transformed into an expression, according to which a geometric model is supposed to be constructed which allows to obtain an answer. The described algorithm does allow high complexity problem to be converted into a simple one.

scholarly journals Distinguishing Planting Structures of Different Complexity from UAV Multispectral Images

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1994
Author(s):  
Qian Ma ◽  
Wenting Han ◽  
Shenjin Huang ◽  
Shide Dong ◽  
Guang Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Confusion Matrix ◽  
Object Oriented ◽  
Low Complexity ◽  
Classification Model ◽  
Recursive Feature Elimination ◽  
Support Vector ◽  
Multispectral Images ◽  
High Complexity ◽  
Structure Complexity

This study explores the classification potential of a multispectral classification model for farmland with planting structures of different complexity. Unmanned aerial vehicle (UAV) remote sensing technology is used to obtain multispectral images of three study areas with low-, medium-, and high-complexity planting structures, containing three, five, and eight types of crops, respectively. The feature subsets of three study areas are selected by recursive feature elimination (RFE). Object-oriented random forest (OB-RF) and object-oriented support vector machine (OB-SVM) classification models are established for the three study areas. After training the models with the feature subsets, the classification results are evaluated using a confusion matrix. The OB-RF and OB-SVM models’ classification accuracies are 97.09% and 99.13%, respectively, for the low-complexity planting structure. The equivalent values are 92.61% and 99.08% for the medium-complexity planting structure and 88.99% and 97.21% for the high-complexity planting structure. For farmland with fragmentary plots and a high-complexity planting structure, as the planting structure complexity changed from low to high, both models’ overall accuracy levels decreased. The overall accuracy of the OB-RF model decreased by 8.1%, and that of the OB-SVM model only decreased by 1.92%. OB-SVM achieves an overall classification accuracy of 97.21%, and a single-crop extraction accuracy of at least 85.65%. Therefore, UAV multispectral remote sensing can be used for classification applications in highly complex planting structures.

Do Anxious Swimmers Swim Slower? Reexamining the Elusive Anxiety-Performance Relationship

1988 ◽  
Vol 10 (1) ◽  
pp. 45-61 ◽  
Author(s):  
Damon Burton
Keyword(s):  
Low Complexity ◽  
Performance Measure ◽  
Somatic Anxiety ◽  
Self Confidence ◽  
Cognitive Anxiety ◽  
Long Duration ◽  
Two Samples ◽  
And Performance ◽  
Moderate Complexity ◽  
The Relationship

The purpose of this investigation was to utilize a multidimensional measure of anxiety and a more sensitive intraindividual performance measure to evaluate the relationship between anxiety and performance. Three hypotheses were tested. First, cognitive anxiety is more consistently and strongly related to performance than is somatic anxiety. Second, somatic anxiety demonstrates an inverted-U relationship with performance, whereas self-confidence and performance exhibit a positive linear relationship and cognitive anxiety and performance exhibit a negative one. Finally, short duration and high and low complexity events demonstrate stronger relationships between somatic anxiety and performance than do long duration or moderate complexity events. Two samples of swimmers completed the CSAI-2 prior to competition, and performance data were obtained from meet results. Correlational and multiple regression analyses generally supported Hypotheses 1 and 3, while polynomial trend analyses on standardized CSAI-2 scores confirmed trends predicted in Hypothesis 2. Overall, these results not only revealed that improved instrumentation allows demonstration of consistent anxiety-performance relationships, but they also provided additional construct validity for the CSAI-2.

Matching Forms as a Function of Complexity, Type of Match, and Retention Interval

1976 ◽  
Vol 43 (3_suppl) ◽  
pp. 1299-1302
Author(s):  
Virginia Brabender ◽  
Christopher Clay
Keyword(s):  
Retention Interval ◽  
Visual Processing ◽  
Present Experiment ◽  
Low Complexity ◽  
Stimulus Complexity ◽  
High Complexity

The present experiment tested the hypothesis that nominal processing increases as stimulus complexity increases. Subjects indicated whether two 4- or 12-sided forms, separated by an interval of .5 or 4.0 sec., were the same or different. “Same” responses corresponded to matches for physical or nominal identity. Longer RTs for high complexity than low complexity forms suggest that complexity affects the efficiency of visual processing rather than the occurrence of nominal processing. An interaction between type of match and interval, due to the longer RTs for matches of nominally identical forms at only the .5-sec. interval, indicates that at this interval, matches for physical and nominal identity are made with visual and nominal representations respectively.

Maximizing design potential: investigating the effects of utilizing opportunistic and restrictive design for additive manufacturing in rapid response solutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rohan Prabhu ◽  
Jordan Scott Masia ◽  
Joseph T. Berthel ◽  
Nicholas Alexander Meisel ◽  
Timothy W. Simpson
Keyword(s):  
Additive Manufacturing ◽  
Design Methodology ◽  
Linear Models ◽  
Design For Additive Manufacturing ◽  
Content Type ◽  
Manufacturing Efficiency ◽  
Material Usage ◽  
Build Time ◽  
Rapid Prototyping And Manufacturing ◽  
Design For Am

Purpose The COVID-19 pandemic has resulted in numerous innovative engineering design solutions, several of which leverage the rapid prototyping and manufacturing capabilities of additive manufacturing. This paper aims to study a subset of these solutions for their utilization of design for AM (DfAM) techniques and investigate the effects of DfAM utilization on the creativity and manufacturing efficiency of these solutions. Design/methodology/approach This study compiled 26 COVID-19-related solutions designed for AM spanning three categories: (1) face shields (N = 6), (2) face masks (N = 12) and (3) hands-free door openers (N = 8). These solutions were assessed for (1) DfAM utilization, (2) manufacturing efficiency and (3) creativity. The relationships between these assessments were then computed using generalized linear models to investigate the influence of DfAM utilization on manufacturing efficiency and creativity. Findings It is observed that (1) unique and original designs scored lower in their AM suitability, (2) solutions with higher complexity scored higher on usefulness and overall creativity and (3) solutions with higher complexity had higher build cost, build time and material usage. These findings highlight the need to account for both opportunistic and restrictive DfAM when evaluating solutions designed for AM. Balancing the two DfAM perspectives can support the development of solutions that are creative and consume fewer build resources. Originality/value DfAM evaluation tools primarily focus on AM limitations to help designers avoid build failures. This paper proposes the need to assess designs for both, their opportunistic and restrictive DfAM utilization to appropriately assess the manufacturing efficiency of designs and to realize the creative potential of adopting AM.

Automatic 3D Face Model Adaptation with Two Complexity Modes for Visual Communication

2011 ◽  
pp. 295-316
Author(s):  
Markus Kampmann ◽  
Liang Zhang
Keyword(s):  
Visual Communication ◽  
Low Complexity ◽  
Facial Features ◽  
Model Adaptation ◽  
High Complexity ◽  
Face Model ◽  
3D Face ◽  
Automatic Adaptation ◽  
Complete Framework ◽  
Mode A

This chapter introduces a complete framework for automatic adaptation of a 3D face model to a human face for visual communication applications like video conferencing or video telephony. First, facial features in a facial image are estimated. Then, the 3D face model is adapted using the estimated facial features. This framework is scalable with respect to complexity. Two complexity modes, a low complexity and a high complexity mode, are introduced. For the low complexity mode, only eye and mouth features are estimated and the low complexity face model Candide is adapted. For the high complexity mode, a more detailed face model is adapted, using eye and mouth features, eyebrow and nose features, and chin and cheek contours. Experimental results with natural videophone sequences show that with this framework automatic 3D face model adaptation with high accuracy is possible.

scholarly journals Reduced frequency of cardiopulmonary arrests by rapid response teams

2012 ◽  
Vol 10 (4) ◽  
pp. 442-448 ◽  
Author(s):  
Paulo David Scatena Gonçales ◽  
Joyce Assis Polessi ◽  
Lital Moro Bass ◽  
Gisele de Paula Dias Santos ◽  
Paula Kiyomi Onaga Yokota ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Rapid Response Team ◽  
Rapid Response ◽  
High Complexity ◽  
Rapid Response Teams ◽  
Cardiorespiratory Arrest ◽  
Reduced Frequency ◽  
Before And After ◽  
Response Team ◽  
The Impact

OBJECTIVE: To evaluate the impact of the implementation of a rapid response team on the rate of cardiorespiratory arrests in mortality associated with cardiorespiratory arrests and on in-hospital mortality in a high complexity general hospital. METHODS: A retrospective analysis of cardiorespiratory arrests and in-hospital mortality events before and after implementation of a rapid response team. The period analyzed covered 19 months before intervention by the team (August 2005 to February 2007) and 19 months after the intervention (March 2007 to September 2008). RESULTS: During the pre-intervention period, 3.54 events of cardiorespiratory arrest/1,000 discharges and 16.27 deaths/1,000 discharges were noted. After the intervention, there was a reduction in the number of cardiorespiratory arrests and in the rate of in-hospital mortality; respectively, 1.69 events of cardiorespiratory arrest/1,000 discharges (p<0.001) and 14.34 deaths/1,000 discharges (p=0.029). CONCLUSION: The implementation of the rapid response team may have caused a significant reduction in the number of cardiorespiratory arrests. It was estimated that during the period from March 2007 to September 2008, the intervention probably saved 67 lives.

Comparisons of Environmental Ordinations with Principal Component Vegetational Ordinations for Sets of Data Having Different Degrees of Complexity

1971 ◽  
Vol 1 (2) ◽  
pp. 99-112 ◽  
Author(s):  
J. K. Jeglum ◽  
C. F. Wehrhahn ◽  
J. M. A. Swan
Keyword(s):  
Principal Component Analysis ◽  
Water Level ◽  
Principal Component ◽  
Low Complexity ◽  
Component Analysis ◽  
Two Dimensional ◽  
High Complexity ◽  
Water Conductivity ◽  
Data Set ◽  
Total Data

Data from a survey of lowland, mainly peatland, vegetation were subjected to environmental ordination based on measurements of water level and water conductivity, and to vegetational ordination derived from principal component analysis (P.C.A.). Analyzed were the total set of the data ("all types"), half sets ("nonwoody" and "woody types") and quarter sets (stands of "marshes", "meadows", "shrub fens", and "other woody types"); the number of distinct physiognomic groups in a set of data, and presumably the amount of contained heterogeneity, decreased at each segmentation.The effectiveness of the ordination models was tested by correlating measured distances in two-dimensional ordination models with 2W/(A + B) indices of vegetational similarity for randomly selected pairs of types or stands. As the physiognomic complexity decreased, the effectiveness of the P.C.A. vegetational ordination increased whereas that of the environmental ordination decreased. The environmental ordination seemed most appropriate to the data encompassing high complexity (total data set), while the P.C.A. vegetational ordination seemed most appropriate to data with low complexity (quarter sets of the data).

A Reverse Glue Approach to Automated Construction of Multi-Piece Molds

2003 ◽  
Author(s):  
Yong Chen ◽  
David W. Rosen
Keyword(s):  
Design Process ◽  
Problem Definition ◽  
Mold Cavity ◽  
Mold Design ◽  
Difficult Time ◽  
Construction Step ◽  
Efficiency And Effectiveness ◽  
Definition Of ◽  
Face Generation ◽  
Construction Algorithms

Mold design can be a difficult, time-consuming process. Determining how to split a mold cavity into multiple mold pieces (e.g., core, cavity) manually can be a tedious process. This paper focuses on the mold construction step of the automated mold design process. By investigating glue operations and its relations with parting faces, an approach based on reverse glue operation is presented. The key of the reverse glue operation is to generate parting faces. A problem definition of parting face generation for a region is provided. Correspondingly, three face generating criteria are identified. Based on the parting lines of a region, our algorithms to generate the parting faces are presented. Our mold construction algorithms for two-piece molds and multi-piece molds are also presented with brief discussions. Some industrial examples are provided which illustrate the efficiency and effectiveness of our approach. We tested our mold designs by fabricating stereolithography mold inserts (a rapid tooling method) and molding parts.

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