A Rational Approach to High-Reliability, High-Performance, Low-Cost Spaceborne Data Management Systems

1991 ◽  
Author(s):  
Lynn S. Diamant
Keyword(s):  
Data Management ◽  
High Performance ◽  
High Reliability ◽  
Low Cost ◽  
Management Systems ◽  
Rational Approach ◽  
Data Management Systems

Infrastructure Data Management Systems Driven by Commercial Need: One Company’s Experience

2012 ◽  
Author(s):  
Kevin Fry
Keyword(s):  
Data Management ◽  
Asset Management ◽  
Low Cost ◽  
Cost Savings ◽  
Cost Effective ◽  
Inspection Time ◽  
Management Systems ◽  
Data Management Systems ◽  
High Level ◽  
Infrastructure Maintenance

The high cost of railroad infrastructure maintenance, compared to the relatively low cost and growing capability of systems to assess infrastructure condition, offers significant potential for cost saving through improved data management systems. This paper looks at one company’s experience of systems in Europe and focuses particularly on the commercial value that can be delivered — other company’s systems are of course also available. Balfour Beatty Rail (BBR) is one of the world’s largest rail engineering and services providers and a significant part of our business involves Asset Management in its broadest sense. BBR’s hands-on experience as a builder and maintainer of railways informs our understanding of what data is helpful to ensure safety and optimize maintenance. Many of our systems have evolved though our own needs in railway maintenance and all are very commercially focused. This paper looks at some of the commercial drivers for these systems and draws on experience from a number of applications in Europe to highlight key areas of benefit. The paper begins with the high level commercial case for data and its effective use, looking at the opportunity for cost savings in asset management. It then looks at the information required to deliver specific types of benefit. Experience with a new system for London Underground to maximize the use of their limited maintenance windows is described. The implications of the UK’s penalty regime for train delays is then discussed, showing how it has driven investment in signaling monitoring resulting in reliability and availability improvement. Condition visibility is an essential prerequisite for effective planning and root cause analysis. For track, subject to many simultaneous degradation modes, location-centered visualisation software is providing users a clearer view of all relevant parameters. By presenting measurements from many different sources to provide a unified view with a location accuracy to within one tie, better targeted and cost-effective maintenance can be undertaken. Software developed by German subsidiary Schreck-Mieves takes a new approach to data management during visual inspections. Initially developed exclusively for their own use, the system aims to quantify a manual inspection. Information is checked for errors and completeness and recording is ergonomically designed to minimize inspection time. Results are combined into an overall evaluation based on a new KAV® wear margin parameter and can be “rolled up” to cover all or part of the network. Finally the paper describes how the UK’s 150-year-old infrastructure has necessitated a different approach to gauging to maximize space. Through infrastructure data management systems and a more analytic approach it is possible to undertake calculations that estimate “true” clearances. This frees up available space which can be used to increase vehicle capacity or save money, with a recent example showing savings of up to $35m made over a 150mile route upgrade, reducing the scope or works by up to a third.

Clinical Trial Data Management Software: A Review of the Technical Features

2019 ◽  
Vol 14 (3) ◽  
pp. 160-172 ◽  
Author(s):  
Aynaz Nourani ◽  
Haleh Ayatollahi ◽  
Masoud Solaymani Dodaran
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Data Management ◽  
Clinical Data ◽  
Clinical Trial Data ◽  
Trial Data ◽  
Data Management System ◽  
Management Systems ◽  
Data Management Systems ◽  
Technical Features

Background:Data management is an important, complex and multidimensional process in clinical trials. The execution of this process is very difficult and expensive without the use of information technology. A clinical data management system is software that is vastly used for managing the data generated in clinical trials. The objective of this study was to review the technical features of clinical trial data management systems.Methods:Related articles were identified by searching databases, such as Web of Science, Scopus, Science Direct, ProQuest, Ovid and PubMed. All of the research papers related to clinical data management systems which were published between 2007 and 2017 (n=19) were included in the study.Results:Most of the clinical data management systems were web-based systems developed based on the needs of a specific clinical trial in the shortest possible time. The SQL Server and MySQL databases were used in the development of the systems. These systems did not fully support the process of clinical data management. In addition, most of the systems lacked flexibility and extensibility for system development.Conclusion:It seems that most of the systems used in the research centers were weak in terms of supporting the process of data management and managing clinical trial's workflow. Therefore, more attention should be paid to design a more complete, usable, and high quality data management system for clinical trials. More studies are suggested to identify the features of the successful systems used in clinical trials.

A Review of Clinical Data Management Systems Used in Clinical Trials

2019 ◽  
Vol 14 (1) ◽  
pp. 10-23 ◽  
Author(s):  
Aynaz Nourani ◽  
Haleh Ayatollahi ◽  
Masoud Solaymani Dodaran
Keyword(s):  
Clinical Trials ◽  
Data Management ◽  
Clinical Data ◽  
Data Management System ◽  
Management Systems ◽  
Management Process ◽  
Data Management Systems ◽  
Ovid Medline ◽  
Research Findings ◽  
Accuracy Of Results

Background:A clinical data management system is a software supporting the data management process in clinical trials. In this system, the effective support of clinical data management dimensions leads to the increased accuracy of results and prevention of diversion in clinical trials. The aim of this review article was to investigate the dimensions of data management in clinical data management systems.Methods:This study was conducted in 2017. The used databases included Web of Science, Scopus, Science Direct, ProQuest, Ovid Medline and PubMed. The search was conducted over a period of 10 years from 2007 to 2017. The initial number of studies was 101 reaching 19 in the final stage. The final studies were described and compared in terms of the year, country and dimensions of the clinical data management process in clinical trials.Results:The research findings indicated that none of the systems completely supported the data management dimensions in clinical trials. Although these systems were developed for supporting the clinical data management process, they were similar to electronic data capture systems in many cases. The most significant dimensions of data management in such systems were data collection or entry, report, validation, and security maintenance.Conclusion:Seemingly, not sufficient attention has been paid to automate all dimensions of the clinical data management process in clinical trials. However, these systems could take positive steps towards changing the manual processes of clinical data management to electronic processes.

Electrostatic bellow muscle actuators and energy harvesters that stack up

2021 ◽  
Vol 6 (51) ◽  
pp. eaaz5796
Author(s):  
I. D. Sîrbu ◽  
G. Moretti ◽  
G. Bortolotti ◽  
M. Bolignari ◽  
S. Diré ◽  
...  
Keyword(s):  
High Performance ◽  
High Reliability ◽  
Low Cost ◽  
Artificial Muscle ◽  
Pressure Head ◽  
Robotic Systems ◽  
Maximum Pressure ◽  
Term Operation ◽  
Energy Harvesters ◽  
Out Of Plane

Future robotic systems will be pervasive technologies operating autonomously in unknown spaces that are shared with humans. Such complex interactions make it compulsory for them to be lightweight, soft, and efficient in a way to guarantee safety, robustness, and long-term operation. Such a set of qualities can be achieved using soft multipurpose systems that combine, integrate, and commute between conventional electromechanical and fluidic drives, as well as harvest energy during inactive actuation phases for increased energy efficiency. Here, we present an electrostatic actuator made of thin films and liquid dielectrics combined with rigid polymeric stiffening elements to form a circular electrostatic bellow muscle (EBM) unit capable of out-of-plane contraction. These units are easy to manufacture and can be arranged in arrays and stacks, which can be used as a contractile artificial muscle, as a pump for fluid-driven soft robots, or as an energy harvester. As an artificial muscle, EBMs of 20 to 40 millimeters in diameter can exert forces of up to 6 newtons, lift loads over a hundred times their own weight, and reach contractions of over 40% with strain rates over 1200% per second, with a bandwidth over 10 hertz. As a pump driver, these EBMs produce flow rates of up to 0.63 liters per minute and maximum pressure head of 6 kilopascals, whereas as generator, they reach a conversion efficiency close to 20%. The compact shape, low cost, simple assembling procedure, high reliability, and large contractions make the EBM a promising technology for high-performance robotic systems.

Graph Data Management Systems

2018 ◽  
pp. 1-9
Author(s):  
Marcus Paradies ◽  
Stefan Plantikow ◽  
Oskar van Rest
Keyword(s):  
Data Management ◽  
Management Systems ◽  
Data Management Systems ◽  
Graph Data ◽  
Graph Data Management
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