scholarly journals Experimental Study under Real-World Conditions to Develop Fault Detection for Automated Vehicles

2012 ◽  
Vol 2 (5) ◽  
pp. 91-99 ◽  
Author(s):  
Naohisa Hashimoto ◽  
Umit Ozguner ◽  
Masashi Yokozuka ◽  
Shin Kato ◽  
Osamu Matsumoto ◽  
...  
Keyword(s):  
Experimental Study ◽  
Fault Detection ◽  
Real World ◽  
Automated Vehicles

Defending Discontinuity

2020 ◽  
pp. 102-133
Author(s):  
Jonathan Gilmore
Keyword(s):  
Experimental Study ◽  
Real World ◽  
Moral Character ◽  
Framing Effects ◽  
Prima Facie ◽  
The Real ◽  
Works Of Art ◽  
Continuity And Discontinuity

This chapter introduces and diagnoses the inadequacy of two prima facie plausible, but ultimately inadequate, arguments for the discontinuity thesis based on framing effects. The chapter then develops and defends a more powerful argument in discontinuity’s favor based on the functions of fictions. The chapter also looks at what turns on the debate between continuity and discontinuity, i.e., what consequences its resolution on the side of discontinuity has for the experimental study of the emotions; the role of responses to works of art as evidence of moral character; and the putatively edifying value of engaging with fictions in educating and refining attitudes about the real world.

scholarly journals Why Is Treatment Urgency Often Overestimated? An Experimental Study on the Phenomenon of Over-triage

2019 ◽  
Vol 14 (5) ◽  
pp. 563-567 ◽  
Author(s):  
Nils Ellebrecht
Keyword(s):  
Experimental Study ◽  
Real World ◽  
Mortality Rates ◽  
Injury Pattern ◽  
Face To Face ◽  
Case Vignettes ◽  
A Minor ◽  
The 19Th Century ◽  
Vital Parameters ◽  
Selection Of

ABSTRACTIn the 19th century, triage emerged as an administrative concept to overcome the unjust and medically unreasonable consequences of an unsystematic adhoc selection of casualties. Until today, however, triage concepts are often applied incorrectly. High over-triage rates are a well-known phenomenon, which increase mortality rates. In order to examine their frequent occurrences, the article discusses different reasons and presents results of an experimental study. Two triage exercises were conducted: a paper-based triage exercise and a real-world simulation. Both exercises used the same case-vignettes consisting of 5 pairs. Each pair described a patient with the same injury pattern and vital parameters but with differing behaviour (calm/highly excited). Different behavior has a minor but no significant effect on over-triage rates. Over-triage is significantly higher in the real-world simulation than in the paper exercise. This is explained by the characteristics of face-to-face situations themselves: they are more complex and ambiguous, and hold more normative power. Accordingly, over-triage is understood as a means to resolve unclear situations (“better to over- than to under-triage”) and to comply with normative demands “within” the strict margins of an administrative concept.

Automated Vehicles from Modeling to Real World

2015 ◽  
pp. 187-191 ◽  
Author(s):  
Ismail Zohdy ◽  
Raj Kamalanathsharma ◽  
Sudharson Sundararajan ◽  
Ram Kandarpa
Keyword(s):  
Real World ◽  
Automated Vehicles

Fault detection in gear box with induction motors: an experimental study

2016 ◽  
Vol 14 (6) ◽  
pp. 2726-2731 ◽  
Author(s):  
Carlos Verucchi ◽  
Guillermo Bossio ◽  
Jose Bossio ◽  
Gerardo Acosta
Keyword(s):  
Experimental Study ◽  
Fault Detection ◽  
Induction Motors ◽  
Gear Box

scholarly journals Testing the Effectiveness of Enhanced Alcohol Warning Labels and Modifications Resulting From Alcohol Industry Interference in Yukon, Canada: Protocol for a Quasi-Experimental Study

10.2196/16320 ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. e16320 ◽  
Author(s):  
Kate Vallance ◽  
Timothy Stockwell ◽  
David Hammond ◽  
Simran Shokar ◽  
Nour Schoueri-Mychasiw ◽  
...  
Keyword(s):  
Experimental Study ◽  
Study Design ◽  
Real World ◽  
Local Governments ◽  
Public Awareness ◽  
Population Level ◽  
Warning Labels ◽  
Intervention Site ◽  
Alcohol Industry ◽  
Quasi Experimental

Background Alcohol warning labels are a promising, well-targeted strategy to increase public awareness of alcohol-related health risks and support more informed and safer use. However, evidence of their effectiveness in real-world settings remains limited and inconclusive. Objective This paper presents a protocol for a real-world study examining the population-level impact of enhanced alcohol warning labels with a cancer message; national drinking guidelines; and standard drink information on attention, processing, and alcohol-related behaviors among consumers in Canada. Postimplementation modifications to the original protocol due to interference by national alcohol industry representatives are also described. Methods This quasi-experimental study involved partnering with local governments in two northern Canadian territories already applying alcohol warning labels on alcohol containers for sale in liquor stores. The study tested an 8-month intervention consisting of three new enhanced, rotating alcohol warning labels in an intervention site (Whitehorse, Yukon) relative to a comparison site (Yellowknife, Northwest Territories) where labelling practices would remain unchanged. Pre-post surveys were conducted at both sites to measure changes in awareness and processing of label messages, alcohol-related knowledge, and behaviors. Liquor store transaction data were collected from both sites to assess changes in population-level alcohol consumption. The intervention was successfully implemented for 1 month before it was halted due to complaints from the alcohol industry. The government of the intervention site allowed the study to proceed after a 2-month pause, on the condition that the cancer warning label was removed from rotation. Modifications to the protocol included applying the two remaining enhanced labels for the balance of the intervention and adding a third wave of surveys during the 2-month pause to capture any impact of the cancer label. Results This study protocol describes a real-world quasi-experimental study that aimed to test the effectiveness of new enhanced alcohol warning labels as a tool to support consumers in making more informed and safer alcohol choices. Alcohol industry interference shortly after implementation compromised both the intervention and the original study design; however, the study design was modified to enable completion of three waves of surveys with cohort participants (n=2049) and meet the study aims. Conclusions Findings from this study will directly inform alcohol labelling policies in Canada and internationally and provide further insight into the alcohol industry’s attempts to disrupt research in this area. Additional unimpeded real-world evaluations of enhanced alcohol warning labels are recommended. International Registered Report Identifier (IRRID) RR1-10.2196/16320

scholarly journals Coupling SUMO with a Motion Planning Framework for Automated Vehicles

10.29007/1p2d ◽  
2019 ◽  
Author(s):  
Moritz Klischat ◽  
Octav Dragoi ◽  
Mostafa Eissa ◽  
Matthias Althoff
Keyword(s):  
Motion Planning ◽  
Open Source ◽  
Dynamic Behavior ◽  
Real World ◽  
Software Framework ◽  
Automated Vehicles ◽  
Lane Changing ◽  
Realistic Simulation ◽  
Lateral Dynamics ◽  
Planning Framework

Testing motion planning algorithms for automated vehicles in realistic simulation environments accelerates their development compared to performing real-world test drives only. In this work, we combine the open-source microscopic traffic simulator SUMO with our software framework CommonRoad to test motion planning of automated vehicles. Since SUMO is not originally designed for simulating automated vehicles, we present an inter- face for exchanging the trajectories of vehicles controlled by a motion planner and the trajectories of other traffic participants between SUMO and CommonRoad. Furthermore, we ensure realistic dynamic behavior of other traffic participants by extending the lane changing model in SUMO to implement more realistic lateral dynamics. We demonstrate our SUMO interface with a highway scenario.

scholarly journals Enhancing Interpretability of Data-Driven Fault Detection and Diagnosis Methodology with Maintainability Rules in Smart Building Management

2022 ◽  
Vol 2022 ◽  
pp. 1-48
Author(s):  
Michael Yit Lin Chew ◽  
Ke Yan
Keyword(s):  
Fault Detection ◽  
Real World ◽  
Data Science ◽  
Building Design ◽  
Facility Management ◽  
Fault Detection And Diagnosis ◽  
Data Driven ◽  
Main Concern ◽  
Smart Building ◽  
Detection And Diagnosis

Data-driven fault detection and diagnosis (FDD) methods, referring to the newer generation of artificial intelligence (AI) empowered classification methods, such as data science analysis, big data, Internet of things (IoT), industry 4.0, etc., become increasingly important for facility management in the smart building design and smart city construction. While data-driven FDD methods nowadays outperform the majority of traditional FDD approaches, such as the physically based models and mathematically based models, in terms of both efficiency and accuracy, the interpretability of those methods does not grow significantly. Instead, according to the literature survey, the interpretability of the data-driven FDD methods becomes the main concern and creates barriers for those methods to be adopted in real-world industrial applications. In this study, we reviewed the existing data-driven FDD approaches for building mechanical & electrical engineering (M&E) services faults and discussed the interpretability of the modern data-driven FDD methods. Two data-driven FDD strategies integrating the expert reasoning of the faults were proposed. Lists of expert rules, knowledge of maintainability, international/local standards were concluded for various M&E services, including heating, ventilation air-conditioning (HVAC), plumbing, fire safety, electrical and elevator systems based on surveys of 110 buildings in Singapore. The surveyed results significantly enhance the interpretability of data-driven FDD methods for M&E services, potentially enhance the FDD performance in terms of accuracy and promote the data-driven FDD approaches to real-world facility management practices.

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