scholarly journals A Transportation Performance Measurement System with a Mississippi Case Study

2010 ◽  
Author(s):  
Haiyuan Wang ◽  
Mingzhou Jin
Keyword(s):  
Performance Measures ◽  
Transportation Systems ◽  
System Level ◽  
Performance Measurement System ◽  
Intermodal Transportation ◽  
Design Alternatives ◽  
Level Performance ◽  
Existing Data ◽  
Highway System

In current literature and practices, there are no systematic and user-oriented intermodal transportation performance measures. After identifying customer needs and transportation goals, this paper proposes a set of system-level performance measures for intermodal transportation that are user-oriented, scalable, systematic, and scientific. The measures can be used to compare intermodal design alternatives or to evaluate existing transportation systems with any size and any mode. The highway system in Mississippi is analyzed as a case study. The case study demonstrates the existing data sources, the methods of calculating the measures, and the means of evaluating transportation systems with the measures.

Performance Evaluation for Related Techniques of the Proposed Environment Pollution Monitoring System for an Iraqi Case Study

2021 ◽  
Vol 3 (2) ◽  
pp. 11-18
Author(s):  
Taha E. Al-jarakh ◽  
Osama Abbas Hussein ◽  
Alaa Khamees Al-azzawi ◽  
Mahmood Farhan Mosleh
Keyword(s):  
Performance Evaluation ◽  
Monitoring System ◽  
Pollution Monitoring ◽  
System Level ◽  
Environment Pollution ◽  
Huge Number ◽  
Iot Platform ◽  
Main Challenge ◽  
Level Performance

The main challenge of this research is to scale the IoT platform aspects related to exchanging, processing, and archiving messages at the lowest cost compute-wise, through evaluating and selecting the most appropriate techniques that can be used in the design of the environment pollution monitoring system for a case study of Iraq. The entirety of the optimization process aims to provide a nation-wide community-oriented service via the scalable platform. The platform provides an intake for a huge number of sensing nodes. Compute-operations following the form of data analysis, aggregation, sensors’ monitoring for the five air pollutants (SO2, CO, O3, NO2, and PM), in addition to radioactive contamination. Thus system-level performance evaluation takes place on the major compute-intensive operations. Thus, proposals are made to optimize the performance in terms of reducing the scripts execution time and the size of data and messages transmitted and stored in the system.

scholarly journals Development of System-level Performance Measures for Evaluation of Models of Care for Inflammatory Arthritis in Canada

2016 ◽  
Vol 43 (3) ◽  
pp. 530-540 ◽  
Author(s):  
Claire E.H. Barber ◽  
Deborah A. Marshall ◽  
Dianne P. Mosher ◽  
Pooneh Akhavan ◽  
Lori Tucker ◽  
...  
Keyword(s):  
Performance Measures ◽  
Inflammatory Arthritis ◽  
Waiting Times ◽  
Models Of Care ◽  
System Level ◽  
Allied Health Professionals ◽  
Modified Delphi ◽  
Timely Access ◽  
Care Systems ◽  
Level Performance

Objective.To develop system-level performance measures for evaluating the care of patients with inflammatory arthritis (IA), including rheumatoid arthritis (RA), psoriatic arthritis, ankylosing spondylitis, and juvenile idiopathic arthritis.Methods.This study involved several methodological phases. Over multiple rounds, various participants were asked to help define a set of candidate measurement themes. A systematic search was conducted of existing guidelines and measures. A set of 6 performance measures was defined and presented to 50 people, including patients with IA, rheumatologists, allied health professionals, and researchers using a 3-round, online, modified Delphi process. Participants rated the validity, feasibility, relevance, and likelihood of use of the measures. Measures with median ratings ≥ 7 for validity and relevance were included in the final set.Results.Six performance measures were developed evaluating the following aspects of care, with each measure being applied separately for each type of IA except where specified: waiting times for rheumatology consultation for patients with new onset IA, percentage of patients with IA seen by a rheumatologist, percentage of patients with IA seen in yearly followup by a rheumatologist, percentage of patients with RA treated with a disease-modifying antirheumatic drug (DMARD), time to DMARD therapy in RA, and number of rheumatologists per capita.Conclusion.The first set of system-level performance measures for IA care in Canada has been developed with broad input. The measures focus on timely access to care and initiation of appropriate treatment for patients with IA, and are likely to be of interest to other arthritis care systems internationally.

System Level Performance Measures of Recovery

2003 ◽  
Author(s):  
Steven Onken ◽  
Jeanne Dumont ◽  
Priscilla Ridgeway ◽  
Doug Dornan ◽  
Ruth Ralph
Keyword(s):  
Performance Measures ◽  
System Level ◽  
Level Performance

A population‐based approach to reporting system‐level performance measures for rheumatoid arthritis care

2020 ◽  
Author(s):  
Claire E.H. Barber ◽  
Deborah A. Marshall ◽  
Elena Szefer ◽  
Cheryl Barnabe ◽  
Natalie J. Shiff ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Performance Measures ◽  
Reporting System ◽  
Population Based ◽  
System Level ◽  
Level Performance

scholarly journals Development of a Composite Sustainability Index for Roadway Intersection Design Alternatives in the UAE

2020 ◽  
Vol 12 (20) ◽  
pp. 8696
Author(s):  
Maryam J. Al-Kaabi ◽  
Munjed A. Maraqa ◽  
Yasser S. Hawas
Keyword(s):  
United Arab Emirates ◽  
Transportation Systems ◽  
Traffic Volume ◽  
Road User ◽  
User Perspective ◽  
Sustainability Index ◽  
Design Alternatives ◽  
Al Ain ◽  
Roadway Intersections

Many studies have been carried out to evaluate the sustainability of transportation systems, but little attention has been given for the design of roadway intersections. This study aimed to establish a framework and develop a tool to assess the sustainability of roadway intersections from a road-user perspective. Sustainability indicators at the strategic level were extracted from the literature and were utilized with relative weights to develop economic, environmental, and social indices that would be combined into a composite sustainability index (CSI) tool. The tool was applied to four case studies of intersections in Al Ain, United Arab Emirates. For each case study, the sustainability of fifteen design alternatives was evaluated for different scenarios of traffic volume and operational speed. Dimensional indices and the overall CSI were determined using the Multi-Criteria Decision Making method. Results indicated that traffic volume had a significant impact on intersection sustainability ranking, while the effect of operational speed was insignificant. Moreover, weight assignment had an effect on determining the most sustainable design alternative, where the best alternatives of the dimension with the major weight would most likely be the most sustainable. The developed tool would assist decision-makers in other cities to assess intersection projects that correspond to their regional goals.

scholarly journals On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows

2019 ◽  
Vol 33 (6) ◽  
pp. 1140-1158 ◽  
Author(s):  
Ana Gainaru ◽  
Hongyang Sun ◽  
Guillaume Aupy ◽  
Yuankai Huo ◽  
Bennett A Landman ◽  
...  
Keyword(s):  
Performance Measures ◽  
Data Centers ◽  
Large Data ◽  
Large Data Sets ◽  
System Level ◽  
Data Sets ◽  
Data Set ◽  
System Utilization ◽  
Average Stretch ◽  
Level Performance

Scientific insights in the coming decade will clearly depend on the effective processing of large data sets generated by dynamic heterogeneous applications typical of workflows in large data centers or of emerging fields like neuroscience. In this article, we show how these big data workflows have a unique set of characteristics that pose challenges for leveraging HPC methodologies, particularly in scheduling. Our findings indicate that execution times for these workflows are highly unpredictable and are not correlated with the size of the data set involved or the precise functions used in the analysis. We characterize this inherent variability and sketch the need for new scheduling approaches by quantifying significant gaps in achievable performance. Through simulations, we show how on-the-fly scheduling approaches can deliver benefits in both system-level and user-level performance measures. On average, we find improvements of up to 35% in system utilization and up to 45% in average stretch of the applications, illustrating the potential of increasing performance through new scheduling approaches.

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