scholarly journals The MAPS-based vertex detector for the STAR experiment: Lessons learned and performance

2016 ◽  
Vol 831 ◽  
pp. 7-11 ◽  
Author(s):  
Giacomo Contin
Keyword(s):  
Lessons Learned ◽  
Vertex Detector ◽  
Star Experiment ◽  
And Performance

Compositional and Performance Mapping in Computer Chamber Music: A Case Study

2014 ◽  
Vol 38 (3) ◽  
pp. 64-75 ◽  
Author(s):  
Eric Lyon ◽  
R. Benjamin Knapp ◽  
Gascia Ouzounian
Keyword(s):  
Chamber Music ◽  
Musical Instruments ◽  
Lessons Learned ◽  
Mapping Problem ◽  
Software Interfaces ◽  
Digital Synthesis ◽  
The Rich ◽  
Physical Gestures ◽  
And Performance ◽  
Musical Interaction

The mapping problem is inherent to digital musical instruments (DMIs), which require, at the very least, an association between physical gestures and digital synthesis algorithms to transform human bodily performance into sound. This article considers the DMI mapping problem in the context of the creation and performance of a heterogeneous computer chamber music piece, a trio for violin, biosensors, and computer. Our discussion situates the DMI mapping problem within the broader set of interdependent musical interaction issues that surfaced during the composition and rehearsal of the trio. Through descriptions of the development of the piece, development of the hardware and software interfaces, lessons learned through rehearsal, and self-reporting by the participants, the rich musical possibilities and technical challenges of the integration of digital musical instruments into computer chamber music are demonstrated.

The silicon drift vertex detector for the STAR experiment at RHIC

2002 ◽  
Vol 477 (1-3) ◽  
pp. 88-92 ◽  
Author(s):  
S.U. Pandey ◽  
R. Bellwied ◽  
R. Beuttenmulller ◽  
H. Caines ◽  
W. Chen ◽  
...  
Keyword(s):  
Vertex Detector ◽  
Star Experiment

Health Services Research at United HealthCare Corporation: The Role of the Center for Health Care Policy and Evaluation

1996 ◽  
Vol 53 (1_suppl) ◽  
pp. 65-76 ◽  
Author(s):  
Eileen Peterson ◽  
Deborah Shatin ◽  
Douglas Mccarthy
Keyword(s):  
Health Care ◽  
Managed Care ◽  
Health Services Research ◽  
Health Services ◽  
Health Care Policy ◽  
Research Priorities ◽  
Research Capacity ◽  
Lessons Learned ◽  
Services Research ◽  
And Performance

This article describes collaborative health services research and performance evaluation activities at United HealthCare Corporation, a national health care management services company. We outline the development of a research capacity within our company, the principal data sources used, and the types of research conducted. The importance of health services research within a managed care system is illustrated using two projects as examples. finally, we discuss issues faced by organizations such as ours in defining appropriate research priorities, ensuring health plan participation, and disseminating research findings. Lessons learned should be of interest to health services researchers working in or collaborating with managed care organizations as well as others seeking to understand the dynamics of research in private-sector health care companies.

scholarly journals A MAPS Based Micro-Vertex Detector for the STAR Experiment

2015 ◽  
Vol 66 ◽  
pp. 514-519 ◽  
Author(s):  
Joachim Schambach ◽  
Eric Anderssen ◽  
Giacomo Contin ◽  
Leo Greiner ◽  
Joe Silber ◽  
...  
Keyword(s):  
Vertex Detector ◽  
Star Experiment

Communication Metrics for Human-Autonomy Teaming: Lessons Learned from us Army Gunnery Field Experiments

2021 ◽  
Vol 65 (1) ◽  
pp. 1157-1161
Author(s):  
Anthony L. Baker ◽  
Sean M. Fitzhugh ◽  
Daniel E. Forster ◽  
Kristin E. Schaefer
Keyword(s):  
Field Experiments ◽  
Autonomous Systems ◽  
Lessons Learned ◽  
Critical Window ◽  
Us Army ◽  
Communication Assessment ◽  
Human Autonomy ◽  
Communication Flow ◽  
And Performance ◽  
Carry Over

The development of more effective human-autonomy teaming (HAT) will depend on the availability of validated measures of their performance. Communication provides a critical window into a team’s interactions, states, and performance, but much remains to be learned about how to successfully carry over communication measures from the human teaming context to the HAT context. Therefore, the purpose of this paper is to discuss the implementation of three communication assessment methodologies used for two Wingman Joint Capabilities Technology Demonstration field experiments. These field experiments involved Soldiers and Marines maneuvering vehicles and engaging in live-fire target gunnery, all with the assistance of intelligent autonomous systems. Crew communication data were analyzed using aggregate communication flow, relational event models, and linguistic similarity. We discuss how the assessments were implemented, what they revealed about the teaming between humans and autonomy, and lessons learned for future implementation of communication measurement approaches in the HAT context.

Significant Performance Improvement with MPD in HPHT Narrow Drilling Window Campaign in the North Sea

2021 ◽  
Author(s):  
Babar Kamal ◽  
Abdul Saboor ◽  
Graeme MacFarlane ◽  
Frank Kernche
Keyword(s):  
Precise Determination ◽  
Lessons Learned ◽  
Overburden Pressure ◽  
The North ◽  
Fracture Pressure ◽  
Open Hole ◽  
Infill Drilling ◽  
Significant Performance ◽  
And Performance ◽  
Formation Pore Pressure

Abstract Significant depletion in reservoir pressure, huge uncertainties in pore and fracture pressure, high overburden pressure on top of reservoir, Narrow Mud Weight Window (NMWW) and Partial/Total losses whilst entering the reservoir made these HPHT (High Pressure High Temperature) wells conventionally un-drillable. Due to these substantial challenges these wells were considered not only costly but also carry a high probability of failure to reach well TD (Total Depth). MPD (Managed Pressure Drilling) is a safer and more effective drilling technique as compared to conventional drilling, especially in wells with NMWW and downhole hazards. The precise determination and dynamic downhole pressure management was imperative to complete these wells without well control incidents. The Constant Bottom Hole Pressure (CBHP) variant in combination of automated MPD system was deployed with a mud weight statically underbalanced while dynamically managed above formation pore pressure to minimize the overbalance across the open hole. MPD enabled the operator to efficiently navigate Equivalent Circulation Density (ECD) through the pore and fracture pressure window, allowed significant improvements throughout the entire campaign. This paper discusses the challenges faced during the last three wells drilled in the campaign which includes equipment issues, commissioning delays, losses whilst drilling, Managed Pressure Cementing (MPC), 7" drill-in-liner and plugged/blocked lines due to weather and mud conditions. The paper describes HPHT infill drilling experience, specific techniques, practices as well as lessons learned from each well during the campaign were implemented to address challenges and to improve performance. The MPD system commissioning was optimized by repositioning the lines which saved significant critical rig time. The blowdown points were added on the lines that were not operational continuously therefore a procedure was developed for flushing to avoid plugging. Optimized drilling strategy was also developed where MW was further reduced to avoid losses as observed in previous wells and CBHP was maintained by manipulating Surface Back Pressure (SBP) from surface. This paper also discusses continuous improvements /upgrades in MPD operating software which assisted the operator in accurate monitoring of flow, SBP and BH-ECD to save significant rig cost in terms of invisible Non-Productive Time (NPT). MPD is a drilling enabler and performance enhancer which saved 80 days of Authorization for Expenditure (AFE) on this challenging HPHT campaign.

scholarly journals MONIT: Monitoring the CERN Data Centres and the WLCG Infrastructure

2019 ◽  
Vol 214 ◽  
pp. 08031 ◽  
Author(s):  
Alberto Aimar ◽  
Asier Aguado Corman ◽  
Pedro Andrade ◽  
Javier Delgado Fernandez ◽  
Borja Garrido Bear ◽  
...  
Keyword(s):  
Open Source ◽  
Lessons Learned ◽  
Monitoring Data ◽  
Commercial Software ◽  
And Performance ◽  
Monitoring Service ◽  
Monitoring Architecture ◽  
Data Centres ◽  
Cloud Resources

The new unified monitoring architecture (MONIT) for the CERN Data Centres and for the WLCG Infrastructure is based on established open source technologies to collect, stream, store and access monitoring data. The previous solutions, based on in-house development and commercial software, have been replaced with widely- recognized technologies such as Collectd, Kafka, Spark, Elasticsearch, InfluxDB, Grafana and others. The monitoring infrastructure, fully based on CERN cloud resources, covers the whole workflow of the monitoring data: from collecting and validating metrics and logs to making them available for dashboards, reports and alarms. The deployment in production of this new DC and WLCG monitoring is well under way and this contribution provides a summary of the progress, hurdles met and lessons learned in using these open source technologies. It also focuses on the choices made to achieve the required levels of stability, scalability and performance of the MONIT monitoring service.

scholarly journals Design and performance of the SLD vertex detector, a 120 Mpixel tracking system

1992 ◽  
Author(s):  
C. J. S. Damerell ◽  
G. D. Agnew ◽  
R. Claus ◽  
R. Cotton ◽  
R. L. English ◽  
...  
Keyword(s):  
Tracking System ◽  
Vertex Detector ◽  
And Performance
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