scholarly journals Objective Rating of Modern Headlamps

ATZ worldwide ◽  
2020 ◽  
Vol 122 (4) ◽  
pp. 74-74
Author(s):  
Tran Quoc Khanh
Keyword(s):  
Objective Rating

scholarly journals Objective Rating of the Launch Behavior of Conventional, Hybrid and Electric Vehicles

2021 ◽  
Author(s):  
Christian Dorsch ◽  
Xiao Wang ◽  
Ferit Küçükay
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicle ◽  
Automatic Transmission ◽  
Major Influence ◽  
Important Process ◽  
Dual Clutch Transmission ◽  
Conventional Vehicle ◽  
Objective Rating ◽  
Dynamic Quality

AbstractThe calibration of conventional, hybrid and electric drivetrains is an important process during the development phase of any vehicle. Therefore, to optimize the comfort and dynamic behavior (known as driveability), many test drives are performed by experienced drivers during different driving maneuvers, e.g., launch, re-launch or gear shift. However, the process can be kept more consistent and independent of human-based deviations by using objective ratings. This study first introduces an objective rating system developed for the launch behavior of conventional vehicles with automatic transmission, dual-clutch transmission, and alternative drivetrains. Then, the launch behavior, namely comfort and dynamic quality, is compared between two conventional vehicles, a plug-in hybrid electric vehicle and a battery electric vehicle. Results show the benefits of pure electric drivetrains due to the lack of launch and shifting elements, as well as the usage of a highly dynamic electric motor. While the plug-in hybrid achieves a 10% higher overall rating compared to the baseline conventional vehicle, the pure electric vehicle even achieves a 21% higher overall rating. The results also highlight the optimization potential of battery electric vehicles regarding their comfort and dynamic characteristics. The transitions and the gradient of the acceleration build-up have a major influence on the launch quality.

The App Rating Inventory: A Novel Method for Evaluating Mobile Apps (Preprint)

2021 ◽  
Author(s):  
Rachel Mackey ◽  
Ann Gleason ◽  
Robert Ciulla
Keyword(s):  
Market Research ◽  
Mobile Apps ◽  
Scoring Systems ◽  
Disease Category ◽  
Broad Application ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Positive Score ◽  
Novel Method ◽  
Objective Rating

BACKGROUND A prodigious number of mobile health apps have flooded the market. The lack of guidelines for identifying high-quality apps from the overwhelming number of available apps creates confusion forestalling clinical adoption. OBJECTIVE The Defense Health Agency’s (DHA) Connected Health Branch developed the app rating inventory (ARI), an objective rating system with capability for broad application across condition areas. METHODS During the development of the ARI, three rounds of testing were conducted to enhance the tool’s performance, reduce redundancy, validate the ARI’s broad application, and assess potential subjectivity. RESULTS The ARI is a 28-item, three-criterion tool. The evidence criterion contains six items, and the content and customizability criterion each contain eleven items. Scoring is based on a simple binary system: either the app contains the feature or it does not. The 28 items are weighted equally; no one item is considered more (or less) important than any other. Each rated app receives four scores: a score for evidence, content, and customizability, and a total score (the sum of the three categories.). Higher scores indicate that the app obtained a positive score on more items than a similar app with a lower score. The evidence, content and customizability scores allow a clinician to make focused decisions when selecting an app for clinical use. CONCLUSIONS Using a two-phased process (market research followed by ratings), the ARI is able to evaluate apps for evidence, content and customizability. Scoring systems provide guidance; they filter down hundreds of apps in a disease category to a handful for consideration. Indeed, apps are not new medicine; in many cases, they are a novel delivery system for proven interventions.

scholarly journals An Evaluation of Objective Rating Methods for Full-Body Finite Element Model Comparison to PMHS Tests

2013 ◽  
Vol 14 (sup1) ◽  
pp. S87-S94 ◽  
Author(s):  
Nicholas A. Vavalle ◽  
Benjamin C. Jelen ◽  
Daniel P. Moreno ◽  
Joel D. Stitzel ◽  
F. Scott Gayzik
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Model Comparison ◽  
Element Model ◽  
Objective Rating ◽  
Full Body

Hotel Ratings: V. Effects of Format and Survey Length

1985 ◽  
Vol 56 (1) ◽  
pp. 176-178 ◽  
Author(s):  
Ashton D. Trice ◽  
M. Shaun Dolan
Keyword(s):  
Return Rates ◽  
Survey Length ◽  
Objective Rating ◽  
Resort Hotel

Two studies addressed format issues in the design of hotel guest surveys. The first study indicated that a space for commentary was a positive incentive for return among 600 guests at a resort hotel. An unstructured space for comment elicited more comments than a structured space. A second study showed that, when space for comment was provided, longer lists of objective rating items brought about higher return rates (5, 10, and 15 Likert items). As more rating items were provided, the number of comments declined.

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