Lessons Learned From Matching Experimental Data to Low-Order Models of Vehicle Behavior

2007 ◽  
Author(s):  
Sean N. Brennan ◽  
Bridget C. Hamblin
Keyword(s):  
Experimental Data ◽  
Lessons Learned ◽  
Roll Angle ◽  
Tire Model ◽  
Work Related ◽  
Terrain Effects ◽  
The Time Domain ◽  
New Research ◽  
Vehicle Chassis ◽  
Low Order

This work presents “lessons learned” from an ongoing experimental and simulation investigation of vehicle chassis dynamics. The overall goal of this work is to find low-order physics-based models that are easily fitted from experimental data, yet accurately describe vehicle chassis motion in yaw, sideslip, and roll angle. In previous work related to this effort [5], anomalies in the model were found where key tire parameters, specifically the cornering stiffnesses, exhibit different best-fit values depending on whether the vehicle is tested in swept sine frequency responses or curvilinear steadystate motion such as skid pad maneuvers. The first portion of this work summarizes these results. Next, new research is presented investigating the source of cornering stiffness discrepancies. The tire modeling errors are found to be very strongly related to vehicle roll angle, and from this insight, corrections to the simple chassis models are derived to allow inclusion of a roll dependency in the tire model. Additionally, during investigation of this advanced tire model, terrain disturbances were found to be significant. A method to remove terrain effects is proposed and demonstrated. Comparing these roll- and terrain-corrected fits to results from prior work [5], the new model gives a significantly improved fit in the frequency domain, and outstanding fit in the time domain.

scholarly journals Exploring the Time Domain with Synoptic Sky Surveys

2011 ◽  
Vol 7 (S285) ◽  
pp. 141-146 ◽  
Author(s):  
S. G. Djorgovski ◽  
A. A. Mahabal ◽  
A. J. Drake ◽  
M. J. Graham ◽  
C. Donalek ◽  
...  
Keyword(s):  
Time Domain ◽  
Lessons Learned ◽  
Sky Surveys ◽  
The Past ◽  
Systematic Exploration ◽  
The Time Domain ◽  
New Research

AbstractSynoptic sky surveys are becoming the largest data generators in astronomy, and they are opening a new research frontier that touches practically every field of astronomy. Opening the time domain to a systematic exploration will strengthen our understanding of a number of interesting known phenomena, and may lead to the discoveries of as yet unknown ones. We describe some lessons learned over the past decade, and offer some ideas that may guide strategic considerations in the planning and execution of future synoptic sky surveys.

scholarly journals Solutions for Unexpected Challenges Encountered when Integrating Research Genomics Results into the EHR

ACI Open ◽  
2020 ◽  
Vol 04 (02) ◽  
pp. e132-e135
Author(s):  
Luke V. Rasmussen ◽  
Christin Hoell ◽  
Maureen E. Smith ◽  
Rex Chisholm ◽  
Justin Starren ◽  
...  
Keyword(s):  
Genetic Research ◽  
Lessons Learned ◽  
Return Of Results ◽  
Patient Portal ◽  
Test Results ◽  
Research Results ◽  
Genetic Test Results ◽  
Future Return ◽  
New Research ◽  
Genetic Results

Abstract Background While there have been published reports detailing technical challenges of incorporating genetic test results into the electronic health record (EHR) with proposed solutions, less has been published about unanticipated sociotechnological or practical communication challenges involved in this process. Objectives This study was aimed to describe unanticipated issues that arose returning genetic research results through the EHR as part of the National Human Genome Research Institute (NHGRI)-funded electronic Medical Records and Genomics (eMERGE) 3 consortium, and provide lessons learned for future implementations Methods We sequenced 3,000 participants on a 109-gene panel and returned genetic results initially in person and/or by letter, with a later release directly into the EHR and patient portal. Results When results were returned through the EHR, multiple participants expressed confusion and contacted the health system, resulting in our institution temporarily freezing our return of research results. Discussion We determined the likely causes of this issue to be (1) the delay between enrollment and results return, (2) inability to personalize mass e-mail messages announcing new research test results in the EHR, (3) limited space for description of test results in the EHR, and (4) the requirement to list an ordering physician for research results in the EHR. For future return of results, we propose sending preparatory e-mails to participants, including screenshots of how they can expect to see their results presented in the EHR portal. Conclusion We hope our lessons learned can provide helpful guidance to other sites implementing research genetic results into the EHR and can encourage EHR developers to incorporate greater flexibility in the future.

scholarly journals Communication and Networking Technologies for UAVs: A Survey

2020 ◽  
Author(s):  
Chathuranga M. Wijerathna Basnayaka ◽  
Dushantha Nalin K. Jayakody
Keyword(s):  
Research Work ◽  
Communication Technologies ◽  
Lessons Learned ◽  
Optimization Techniques ◽  
Network Architectures ◽  
Vehicle Communication ◽  
Work Related ◽  
Aerial Vehicle ◽  
Networking Technologies ◽  
Communication Methods

With the advancement in drone technology, in just a few years, drones will be assisting humans in every domain. But there are many challenges to be tackled, communication being the chief one. This paper aims at providing insights into the latest UAV (Unmanned Aerial Vehicle) communication technologies through investigation of suitable task modules, antennas, resource handling platforms, and network architectures. Additionally, we explore techniques such as machine learning and path planning to enhance existing drone communication methods. Encryption and optimization techniques for ensuring long−lasting and secure communications, as well as for power management, are discussed. Moreover, applications of UAV networks for different contextual uses ranging from navigation to surveillance, URLLC (Ultra-reliable and low−latency communications), edge computing and work related to artificial intelligence are examined. In particular, the intricate interplay between UAV, advanced cellular communication, and internet of things constitutes one of the focal points of this paper. The survey encompasses lessons learned, insights, challenges, open issues, and future directions in UAV communications. Our literature review reveals the need for more research work on drone−to−drone and drone−to−device communications.

Using the SUS: Lessons Learned & Forward Looking Research

2018 ◽  
Vol 62 (1) ◽  
pp. 2037-2040
Author(s):  
Rebecca A. Grier ◽  
Katie Allanson ◽  
Aaron Bangor ◽  
Philip Kortum ◽  
Claudia Ziegler Acemyan ◽  
...  
Keyword(s):  
Lessons Learned ◽  
Specific Interest ◽  
Extensive Experience ◽  
Commercial Products ◽  
System Usability Scale ◽  
System Usability ◽  
Different Types ◽  
New Research ◽  
Forward Looking

This panel will discuss the System Usability Scale. Panelists all have extensive experience using the SUS within a broad range of contexts: diverse people (e.g., abilities, languages); different types of products; and different testing scenarios. Members of the audience will have the opportunity to ask questions about new research on the validity of the SUS in different environments as well as about lessons learned from practitioners using it to evaluate commercial products. Topics of specific interest to the authors are detailed within this paper.

Managing Lessons Learned

2013 ◽  
pp. 224-245 ◽  
Author(s):  
Kamal Badr Abdalla Badr ◽  
Mohammad Nazir Ahmad
Keyword(s):  
Human Resources ◽  
Lessons Learned ◽  
Evaluation Framework ◽  
Organizational Processes ◽  
Productivity Factor ◽  
Emerging Issues ◽  
Knowledge Intensive Organizations ◽  
Knowledge Intensive ◽  
New Research ◽  
Practical Implications

An organization’s knowledge is built on the experience of its human resources, such as individual competencies, group working experiences, problem-solving abilities, and the lessons learned, which these resources use during the execution of tasks or processes. This organizational knowledge is stored in individual minds, or implicitly encoded in organizational processes, services, and systems. In the context of knowledge intensive organizations or learning organizations, besides labor, capital, and land, this experience-based knowledge has been recognized as an important productivity factor. For example, Lessons Learned (LL) are crucial to the learning organization’s continued success. LL were originally conceived as guidelines, tips, or checklists of what went right or wrong in a particular event or organizational business process. A Lessons Learned System (LLS) is a type of knowledge management system that serves the purpose of capturing, storing, disseminating, and sharing an organization’s verified LL, but Lessons Learned Systems have not been well studied and researched. Based on the literature review, the authors develop an evaluation framework for understanding LLS research. The framework identifies six dimension areas of emphasis in LLS research: LL process, LL representation, LL content, LL architecture, organization type, and type of processes. This chapter introduces the evaluation framework and concludes with a discussion of emerging issues, new research directions, and the practical implications of LLS research.

Lessons Learned from the NASA Astrobiology Institute

2011 ◽  
pp. 1201-1216
Author(s):  
Lisa Faithorn ◽  
Baruch S. Blumberg
Keyword(s):  
Information Technologies ◽  
Organizational Structures ◽  
Lessons Learned ◽  
Professional Relationships ◽  
Geographically Dispersed ◽  
Research Areas ◽  
Geographically Distributed ◽  
National Boundaries ◽  
New Research ◽  
Practice Of Science

Complex social, economic, political and environmental challenges as well as new research areas that cut across disciplinary, institutional and national boundaries are catalyzing a rapid increase in geographically distributed work groups. At the same time, advanced information technologies designed to facilitate effective communication and collaboration among remote colleagues are having a dramatic impact on social and professional relationships and organizational structures and forms. The practice of science is one of the domains that are undergoing significant change as a result of this trend toward increased collaboration. In this chapter we describe our efforts to promote collaboration among geographically dispersed multidisciplinary science teams in the NASA Astrobiology Institute. The lessons learned regarding the importance of recognizing and addressing the complex and inter-related dimensions of collaboration have implications not only for science but also for many other contemporary domains of activity.

EHR to EHR Transitions: Establishing and Growing a Knowledge Base

2018 ◽  
Vol 62 (1) ◽  
pp. 513-517
Author(s):  
Jennifer Herout ◽  
Jason J. Saleem ◽  
Matthew Weinger ◽  
Robert W. Grundmeier ◽  
Emily S. Patterson ◽  
...  
Keyword(s):  
Human Factors ◽  
Electronic Health Record ◽  
Knowledge Base ◽  
Panel Discussion ◽  
National Policy ◽  
Lessons Learned ◽  
Health Record ◽  
Healthcare Organizations ◽  
Healthcare Facilities ◽  
New Research

Although numerous healthcare organizations have transitioned from one electronic health record (EHR) to another or are currently planning a transition, there are few documented artifacts, such as published studies or operationalizable resources, that offer guidance on such transitions. This panel seeks to begin a conversation about human factors considerations in EHR transitions from a legacy system. Panel members will discuss current literature and research on the topic as well as experiences with and lessons learned from transitions within their organizations. Panel discussion can be expected to identify new research opportunities, needed resources, and guidance for EHR vendors or healthcare facilities in the midst of or preparing for an EHR transition. Panelists will also lay out systemic issues that need to be addressed at the national policy and regulatory level. This topic is relevant not only to full-scale EHR transitions, but also has applicability for significant EHR version changes.

scholarly journals Multiple Resolution Modeling: A Particular Case of Distributed Simulation

Information ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 469
Author(s):  
Mario Marin ◽  
Gene Lee ◽  
Jaeho Kim
Keyword(s):  
Distributed Simulation ◽  
Research Area ◽  
Simulation System ◽  
Lessons Learned ◽  
Point Of View ◽  
High Level Architecture ◽  
Unique Form ◽  
The Future ◽  
New Research ◽  
High Level

Multiple resolution modeling (MRM) is the future of distributed simulation. This article describes different definitions and notions related to MRM. MRM is a relatively new research area, and there is a demand for simulator integration from a modeling complexity point of view. This article also analyzes a taxonomy based on the experience of the researchers in detail. Finally, an example that uses the high-level architecture (HLA) is explained to illustrate the above definitions and, in particular, to look at the problems that are common to these distributed simulation configurations. The steps required to build an MRM distributed simulation system are introduced. The conclusions describe the lessons learned for this unique form of distributed simulation.

scholarly journals Integrating Biosignals Measurement in Virtual Reality Environments for Anxiety Detection

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7088
Author(s):  
Livia Petrescu ◽  
Cătălin Petrescu ◽  
Oana Mitruț ◽  
Gabriela Moise ◽  
Alin Moldoveanu ◽  
...  
Keyword(s):  
Experimental Data ◽  
Virtual Reality ◽  
Time Domain ◽  
Classification Accuracy ◽  
Electrodermal Activity ◽  
Nonlinear Function ◽  
Virtual Reality Environment ◽  
Anxiety Levels ◽  
The Time Domain ◽  
Time Evaluation

This paper proposes a protocol for the acquisition and processing of biophysical signals in virtual reality applications, particularly in phobia therapy experiments. This protocol aims to ensure that the measurement and processing phases are performed effectively, to obtain clean data that can be used to estimate the users’ anxiety levels. The protocol has been designed after analyzing the experimental data of seven subjects who have been exposed to heights in a virtual reality environment. The subjects’ level of anxiety has been estimated based on the real-time evaluation of a nonlinear function that has as parameters various features extracted from the biophysical signals. The highest classification accuracy was obtained using a combination of seven heart rate and electrodermal activity features in the time domain and frequency domain.

scholarly journals 2426 Fostering cross-disciplinary research: Lessons learned from STTEP-UP

2018 ◽  
Vol 2 (S1) ◽  
pp. 56-56 ◽  
Author(s):  
Hannibal Person ◽  
Adjoa R. Smalls-Mantey ◽  
Oluwasheyi Ayeni ◽  
Dagmar Hernandez-Saurez ◽  
Emma K. T. Benn ◽  
...  
Keyword(s):  
Healthcare System ◽  
Lessons Learned ◽  
Virtual Learning Environment ◽  
Provider Education ◽  
Research Strategies ◽  
Web Based ◽  
Protected Time ◽  
Study Population ◽  
Group Brainstorming ◽  
New Research

OBJECTIVES/SPECIFIC AIMS: N/A. METHODS/STUDY POPULATION: N/A. RESULTS/ANTICIPATED RESULTS: N/A. DISCUSSION/SIGNIFICANCE OF IMPACT: There is an increasing need to foster cross-disciplinary research to address complex problems within healthcare. The Sinai Team-based Translational Education Program: the URM Propeller (STTEP-UP) is a NCATS funded program through the Icahn School of Medicine at Mount Sinai. Its goal is to facilitate URM post-doctoral trainees becoming innovative leaders in clinical and translational research. The program includes a team-based research component, where fellows collaborate on a project. This year, disciplines represented by the four fellows include Cardiology, Psychiatry, Neurology, and Pediatrics. Identifying a clinical question and designing an investigation was facilitated by group brainstorming meetings with program mentors. Fellows designed a project to identify medical testing and prescribing that were not clinically indicated throughout the healthcare system, with the goal of exploring whether an intervention, including provider education, could reduce ordering practices. In addition to regular in-person meetings, a licensed virtual learning environment and free web-based sharing platform were used to foster collaboration. Challenges faced throughout this process, included fellows struggling to find protected time, difficulties accessing broad sets of data across the healthcare system, and overcoming administrative barriers between departments. Strengths of this approach, included fellows learning new research strategies and feeling a deeper sense of commonality with their peers. Overall, this experience supports the idea that cross-disciplinary research improves the collaboration and education of emerging researchers. However, addressing logistical and systems-based barriers may better facilitate this education and research.

Sign in / Sign up

Export Citation Format

Share Document