The Design of Modeled Cam Systems—Part II: Minimization of Motion Distortion Due to Modeling Errors

1975 ◽  
Vol 97 (4) ◽  
pp. 1181-1189 ◽  
Author(s):  
G. K. Matthew ◽  
D. Tesar
Keyword(s):  
Complex Analysis ◽  
Inertia Force ◽  
Model Parameters ◽  
System Parameters ◽  
Qualitative And Quantitative ◽  
Dynamic Synthesis ◽  
Modeling Errors ◽  
Rules Of Thumb ◽  
Quantitative Results ◽  
Cam Systems

The dynamic synthesis procedures of Part I are reinforced by qualitative and quantitative results from analysis. The principal concern is for the motion distortion which results from off-speed operation and from errors in the model parameters. Elementary direct means for calculating errors due to transient vibrations and inertia force variations are given which eliminate the need for complex analysis procedures. Rules of thumb are developed which enable the designer to choose system parameters to minimize motion distortion and inhibit growth of wear and consequent noise.

scholarly journals Affective communication: a mixed method investigation into COVID-19 outbreak communication using the Taiwanese government Facebook page

2021 ◽  
pp. 175797592110035
Author(s):  
Chia Yu Lien ◽  
Yun-Hsuan Wu
Keyword(s):  
Social Media ◽  
Mixed Method ◽  
Health Authority ◽  
Disease Outbreak ◽  
Government Agencies ◽  
Affective Communication ◽  
Frontline Workers ◽  
The Public ◽  
Qualitative And Quantitative ◽  
Quantitative Results

The COVID-19 outbreak has created an unprecedented challenge for governments to convey information to the public, and social media has become a critical method of COVID-19 communication in Taiwan. Objectives: This study examines a total of 1128 Facebook posts published by Taiwan’s principal health authority from December 1, 2019 to May 31, 2020. Methods: Using both qualitative and quantitative approaches, this study investigates strategies used by the Taiwan government to communicate the COVID-19 outbreak and public responses toward these strategies. Result: Novel uses of Facebook posts on outbreak communication were identified, including solidarity, reviews of actions, press conferences, and the use of animal and cartoon images. Quantitative results showed that the public responded significantly more frequently to messages generating positive affects, such as posts that reviewed government actions and public efforts; posts that expressed thanks, approval, or comradeship; and posts that paired text with photographs of frontline workers or cute animals. Conclusion: These results suggest that, amid a disease outbreak, the public not only look for updated situations and guidelines but also for affective affirmation from government agencies.

Nanoparticle Mass Transfer From Lung Airways to Systemic Regions—Part II: Multi-Compartmental Modeling

2013 ◽  
Vol 135 (12) ◽  
Author(s):  
Arun V. Kolanjiyil ◽  
Clement Kleinstreuer
Keyword(s):  
Mass Transfer ◽  
Model Parameters ◽  
Computationally Efficient ◽  
Nanoparticle Deposition ◽  
Aerosol Dynamics ◽  
Multicompartmental Model ◽  
Quantitative Results ◽  
Species Extrapolation ◽  
Critical Insight ◽  
Lung Airways

This is the second article of a two-part paper, combining high-resolution computer simulation results of inhaled nanoparticle deposition in a human airway model (Kolanjiyil and Kleinstreuer, 2013, “Nanoparticle Mass Transfer From Lung Airways to Systemic Regions—Part I: Whole-Lung Aerosol Dynamics,” ASME J. Biomech. Eng., 135(12), p. 121003) with a new multicompartmental model for insoluble nanoparticle barrier mass transfer into systemic regions. Specifically, it allows for the prediction of temporal nanoparticle accumulation in the blood and lymphatic systems and in organs. The multicompartmental model parameters were determined from experimental retention and clearance data in rat lungs and then the validated model was applied to humans based on pharmacokinetic cross-species extrapolation. This hybrid simulator is a computationally efficient tool to predict the nanoparticle kinetics in the human body. The study provides critical insight into nanomaterial deposition and distribution from the lungs to systemic regions. The quantitative results are useful in diverse fields such as toxicology for exposure-risk analysis of ubiquitous nanomaterial and pharmacology for nanodrug development and targeting.

Multidirection Validation of a Finite Element 50th Percentile Male Hybrid III Anthropomorphic Test Device for Spaceflight Applications

2019 ◽  
Vol 141 (3) ◽  
Author(s):  
Derek A. Jones ◽  
James P. Gaewsky ◽  
Mona Saffarzadeh ◽  
Jacob B. Putnam ◽  
Ashley A. Weaver ◽  
...  
Keyword(s):  
Finite Element ◽  
Injury Risk ◽  
Fe Model ◽  
Fe Modeling ◽  
Test Device ◽  
Qualitative And Quantitative ◽  
Hybrid Iii ◽  
Physical Tests ◽  
Quantitative Results ◽  
Male Hybrid

The use of anthropomorphic test devices (ATDs) for calculating injury risk of occupants in spaceflight scenarios is crucial for ensuring the safety of crewmembers. Finite element (FE) modeling of ATDs reduces cost and time in the design process. The objective of this study was to validate a Hybrid III ATD FE model using a multidirection test matrix for future spaceflight configurations. Twenty-five Hybrid III physical tests were simulated using a 50th percentile male Hybrid III FE model. The sled acceleration pulses were approximately half-sine shaped, and can be described as a combination of peak acceleration and time to reach peak (rise time). The range of peak accelerations was 10–20 G, and the rise times were 30–110 ms. Test directions were frontal (−GX), rear (GX), vertical (GZ), and lateral (GY). Simulation responses were compared to physical tests using the correlation and analysis (CORA) method. Correlations were very good to excellent and the order of best average response by direction was −GX (0.916±0.054), GZ (0.841±0.117), GX (0.792±0.145), and finally GY (0.775±0.078). Qualitative and quantitative results demonstrated the model replicated the physical ATD well and can be used for future spaceflight configuration modeling and simulation.

Estimation of the Tin-Sulfide Tailing Effect on Hydrosphere with Physicochemical Modeling (Komsomolsk Area)

2013 ◽  
Vol 726-731 ◽  
pp. 1318-1321
Author(s):  
Alyona M. Kostina ◽  
Valeriy A. Bychinskyi ◽  
Valentina P. Zvereva
Keyword(s):  
Tin Sulfide ◽  
Physicochemical Modeling ◽  
Ion Composition ◽  
System Parameters ◽  
Qualitative And Quantitative ◽  
Ground Waters ◽  
Sulfide Tailing

Modeling carried out by the authors made it possible to show the system parameters, to study the process of the hypergene mineral crystallization from solutions, to take a look at their qualitative and quantitative ion composition, to show the hypergenesis role in the pollution of the surface and ground waters of the district, and to estimate it.

Nonlinear Analysis of a Rigid Rotor on Magnetic Bearings

1995 ◽  
Author(s):  
C. Nataraj
Keyword(s):  
Nonlinear Analysis ◽  
Equations Of Motion ◽  
Forced Response ◽  
Magnetic Bearings ◽  
Rigid Rotor ◽  
Stability Criteria ◽  
Safe Operation ◽  
Qualitative And Quantitative ◽  
Quantitative Results ◽  
Nonlinear Equations Of Motion

A simple model of a rigid rotor supported on magnetic bearings is considered. A proportional control architecture is assumed, the nonlinear equations of motion are derived and some essential nondimensional parameters are identified. The free and forced response of the system is analyzed using techniques of nonlinear analysis. Both qualitative and quantitative results are obtained and stability criteria are derived for safe operation of the system.

scholarly journals UCAN: A Learning-based Model to Enhance Poorly Exposed Images

2020 ◽  
Author(s):  
Lucas R. V. Messias ◽  
Cristiano R. Steffens ◽  
Paulo L. J. Drews-Jr ◽  
Silvia S. C. Botelho
Keyword(s):  
Image Quality ◽  
Image Enhancement ◽  
Dynamic Range ◽  
Low Contrast ◽  
Qualitative And Quantitative ◽  
Fast Learning ◽  
Proposed Model ◽  
Quantitative Results ◽  
Critical Process ◽  
Poor Lighting

Image enhancement is a critical process in imagebased systems. In these systems, image quality is a crucial factor to achieve a good performance. Scenes with a dynamic range above the capability of the camera or poor lighting are challenging conditions, which usually result in low contrast images, and, with that, we can have the underexposure and/or overexposure problem. In this work, our aim is to restore illexposed images. For this purpose, we present UCAN, a small and fast learning-based model capable to restore and enhance poorly exposed images. The obtained results are evaluated using image quality indicators which show that the proposed network is able to improve images damaged by real and simulated exposure. Qualitative and quantitative results show that the proposed model outperforms the existing models for this objective.

scholarly journals Accurate Instance Segmentation in Pediatric Elbow Radiographs

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7966
Author(s):  
Dixiao Wei ◽  
Qiongshui Wu ◽  
Xianpei Wang ◽  
Meng Tian ◽  
Bowen Li
Keyword(s):  
Elbow Joint ◽  
Segmentation Method ◽  
Qualitative And Quantitative ◽  
Robust Segmentation ◽  
Local Contexts ◽  
Good Potential ◽  
Quantitative Results ◽  
Bounding Boxes ◽  
Global And Local ◽  
Instance Segmentation

Radiography is an essential basis for the diagnosis of fractures. For the pediatric elbow joint diagnosis, the doctor needs to diagnose abnormalities based on the location and shape of each bone, which is a great challenge for AI algorithms when interpreting radiographs. Bone instance segmentation is an effective upstream task for automatic radiograph interpretation. Pediatric elbow bone instance segmentation is a process by which each bone is extracted separately from radiography. However, the arbitrary directions and the overlapping of bones pose issues for bone instance segmentation. In this paper, we design a detection-segmentation pipeline to tackle these problems by using rotational bounding boxes to detect bones and proposing a robust segmentation method. The proposed pipeline mainly contains three parts: (i) We use Faster R-CNN-style architecture to detect and locate bones. (ii) We adopt the Oriented Bounding Box (OBB) to improve the localizing accuracy. (iii) We design the Global-Local Fusion Segmentation Network to combine the global and local contexts of the overlapped bones. To verify the effectiveness of our proposal, we conduct experiments on our self-constructed dataset that contains 1274 well-annotated pediatric elbow radiographs. The qualitative and quantitative results indicate that the network significantly improves the performance of bone extraction. Our methodology has good potential for applying deep learning in the radiography’s bone instance segmentation.

scholarly journals DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion

2020 ◽  
Author(s):  
Zixiang Zhao ◽  
Shuang Xu ◽  
Chunxia Zhang ◽  
Junmin Liu ◽  
Jiangshe Zhang ◽  
...  
Keyword(s):  
Image Fusion ◽  
Feature Maps ◽  
Visible Image ◽  
Qualitative And Quantitative ◽  
Fused Image ◽  
Fusion Images ◽  
Quantitative Results ◽  
Deep Image ◽  
Core Idea ◽  
Background Detail

Infrared and visible image fusion, a hot topic in the field of image processing, aims at obtaining fused images keeping the advantages of source images. This paper proposes a novel auto-encoder (AE) based fusion network. The core idea is that the encoder decomposes an image into background and detail feature maps with low- and high-frequency information, respectively, and that the decoder recovers the original image. To this end, the loss function makes the background/detail feature maps of source images similar/dissimilar. In the test phase, background and detail feature maps are respectively merged via a fusion module, and the fused image is recovered by the decoder. Qualitative and quantitative results illustrate that our method can generate fusion images containing highlighted targets and abundant detail texture information with strong reproducibility and meanwhile surpass state-of-the-art (SOTA) approaches.

Discussing Serious News

2016 ◽  
Vol 34 (3) ◽  
pp. 254-257 ◽  
Author(s):  
Hilary Flint ◽  
Mark Meyer ◽  
Monir Hossain ◽  
Melissa Klein
Keyword(s):  
Communication Skills ◽  
Educational Intervention ◽  
Role Play ◽  
Perceived Efficacy ◽  
Pediatric Residents ◽  
Qualitative And Quantitative ◽  
Bereaved Parents ◽  
Quantitative Results ◽  
The Impact

Aim: The ability to communicate serious news to patients and families in a caring and compassionate way is a critical skill for physicians. This study explores the impact of a novel communication skills workshop that included bereaved parents in role play on pediatric residents’ confidence to communicate serious news. Methods: Following the workshop, pediatric residents were surveyed to assess their perceived efficacy of the educational intervention. The survey included anchored response and open-ended questions to yield qualitative and quantitative results. Results: After completing the workshop, residents’ confidence in discussing goals, managing emotions, and expressing empathy all increased significantly. Residents reported that the inclusion of bereaved parents was beneficial since it made the experience more realistic. In addition, they believed their ability to communicate with patients and families had improved. Conclusions: Including bereaved parents in this communication skills workshop improved the residents’ confidence in discussing serious topics and enhanced the reality of the experience.

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