Mechanical System Information Management in a Shared Multidisciplinary Environment

1994 ◽  
Author(s):  
J. K. Wu ◽  
X. Yang ◽  
X. Li ◽  
D. A. Kvidera
Keyword(s):  
Data Management ◽  
Mechanical System ◽  
Information Model ◽  
Global Database ◽  
Cad System ◽  
History Of ◽  
Engineering Environment ◽  
Management Method ◽  
System Information ◽  
Product Definition

Abstract This paper describes the information model and data management methods developed for the global database of a Concurrent Engineering environment for mechanical system design and evaluation. The environment considered has a CAD system and four CAE applications. The information model supports these engineering disciplines through multiple, unrestricted product composition hierarchies and a shared product definition. The dependency between the shared product definition and application models and between attributes of the parameterized, shared product definition are analyzed. The data management method employs a versioning policy that maintains consistent representations and history of the design as it undergoes design change transactions.

System Information Model of Obtaining and Using Data of Remote Sensing the Earth

2008 ◽  
Vol 40 (11) ◽  
pp. 46-56
Author(s):  
Ludmila I. Samoilenko ◽  
Sergey A. Baulin ◽  
Tatyana V. Ilyenko ◽  
Margarita A. Kirnosova ◽  
Ludmila N. Kolos ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information Model ◽  
The Earth ◽  
System Information ◽  
Using Data

Ibuprofen and risk of hypoglycemia in diabetic and non-diabetic consumers: analysis of international pharmacovigilance data

2021 ◽  
Vol 9 (1) ◽  
pp. 5
Author(s):  
Mulugeta Russom ◽  
Filipos Yohannes ◽  
Abel Tekle ◽  
Ruth Ghirmay
Keyword(s):  
Individual Case ◽  
Causal Link ◽  
Epidemiological Evidence ◽  
Global Database ◽  
Bradford Hill ◽  
Bradford Hill Criteria ◽  
History Of ◽  
Hill Criteria ◽  
Time To Onset ◽  
Totality Of Evidence

Introduction: Ibuprofen was associated with hypoglycemia in a single published case report in a diabetic patient. Ibuprofen, however, has never been associated so far with hypoglycemia in previously healthy non-diabetic individuals and thus, it is not listed as adverse effect in its summary of product characteristics approved by major regulatory authorities. Objective: This study was conducted to assess the causal relationship between ibuprofen and hypoglycemia in diabetic and non-diabetic individuals. Materials and Methods: Analysis of the literature and the WHO global database of individual case safety reports, VigiBase, was made to explore evidence on the association of ibuprofen and hypoglycemia. The unpublished data and the currently availablepublished toxicological, biological, clinical and epidemiological evidence, if any, was systematically organized using Austin Bradford Hill criteria, causality assessment framework, to assess the causal link between ibuprofen and hypoglycemia. Results: In VigiBase, there were 125 cases of hypoglycemia associated with ibuprofen, reported from 19 countries. About 50% had history of diabetes. Ibuprofen was reported as sole suspect in 36.8% of the cases and the only drug administered in18.4%. Hypoglycemia resolved following discontinuation of ibuprofen in 21.6% and recurred in three patients with rechallenge. Outcome was fatal in 10.5%. Where ibuprofen was solely administered, median time-to-onset of hypoglycemia was one-day following administration of the drug. In an experimental study, a significant decrease in blood glucose level was observed at a higher dose of ibuprofen compared to a low-dose. Conclusion: Currently available totality of evidence reflects a possible causal association between ibuprofen and hypoglycemia that need to be substantiated with further studies.

Intangible Capital Management Method as Dynamic Knowledge Wisdom

2013 ◽  
pp. 12-21 ◽  
Author(s):  
Shigeki Sugiyama
Keyword(s):  
Real Estate ◽  
Human Resource ◽  
Sales Management ◽  
Intangible Capital ◽  
Capital Management ◽  
Structure System ◽  
The World ◽  
Management Method ◽  
System Information ◽  
Future Direction

We are now in the age of various capitals like money, facility, real estate, movable property, structure, system, information, relations, human resource, intellectual property, knowledge, intelligence, and dynamic knowledge wisdom, which will have much influence in production, sales, management, economy, society, country, and the world. Some of them are tangible and the others are intangible. According to the tangible capitals, we have been developing the management methods here and there in real usages, but according to the intangible capitals, it is very hard to say that we are able to treat and manage the intangible capitals in an appropriate method by a proper intention. It is just because they are themselves quite ambiguous to understand and treat. Therefore, the present situations of the capitals, a treating method in principle, and a future direction of the capitals are studied by introducing the basic idea of “Intangible Capital Management Method as Dynamic Knowledge Wisdom.”

Concept for an Integrated Workflow Planning of Dental Products Based on Federative Data Management

2014 ◽  
Author(s):  
Reinhard Heister ◽  
Reiner Anderl
Keyword(s):  
Data Management ◽  
Heterogeneous Systems ◽  
Information Model ◽  
Individual Development ◽  
Production Model ◽  
Structured Activities ◽  
Delivery Times ◽  
Workflow Planning ◽  
Dental Products ◽  
Integrated Information

Workflows to produce dental products by using CAD/CAM technology are very complex. Each patient needs an individual restoration. The challenge is to provide a patient individual production aiming at a price of mass production. But every single job has to run through an individual development as well manufacturing process. Typically, three stakeholders are involved in the workflow. The dentist performs the treatment and defines requirements for restoration. The dental laboratory plans the workflow and designs the reconstruction by using a dental CAD system. Subsequently, a milling center produces the restoration. Because of these highly heterogeneous workflows, diverse data streams and incompatibilities result. Often improper partners and resources are involved in the workflow. This fact is a significant source for errors. An additional complication is that errors are often discovered in late phases of the workflow. To avoid high costs and unacceptable delivery times, the aim is to develop a new concept for integrated workflow planning. The concept depends on three parts: Federative dental data management (FDDM) as a basic approach, including anticipated logic and structured activities. The federative data management provides a loosely coupling of heterogeneous systems crossing enterprise borders by using web technology. The FDDM service depends on APP technology. Each participant applies its specialized APP: FDDMz (dentist), FDDMd (dental laboratory) and FDDMf (milling center). FDDM services enable a continuously integrated workflow throughout the whole process of a patient individual production. Each participating enterprise is able to register its available processes and resources. Information about resources like 3D dental scanner or milling machines are able to add, according to a global data model schema. This schema depends on an integrated information model with eight partial models: Collaboration, resource, process, workflow, requirements, product, work preparation and production model. This integrated information model provides dental information including interlinked objects. Through a proper anticipation logic, conclusions about later phases can be anticipated already at early phases. The last conceptual part is workflow management on frame of structured activities. By combining the information network with the anticipation logic, filtering of appropriate partners, processes, resources and sequences is supported. Next, a prototypical implementation is demonstrated exemplarily. This concept delivers an important contribution to increase process reliability and quality as well as to reduce delivery times and costs for digital dental workflows.

SEACOOS Program Management

2008 ◽  
Vol 42 (3) ◽  
pp. 17-27 ◽  
Author(s):  
Harvey E. Seim ◽  
James Nelson ◽  
Madilyn Fletcher ◽  
C.N.K. Mooers ◽  
Lundie Spence ◽  
...  
Keyword(s):  
Data Management ◽  
Future Development ◽  
Coastal Ocean ◽  
Lessons Learned ◽  
Unified Approach ◽  
Annual Budget ◽  
History Of ◽  
Ocean Observing ◽  
Ocean Observing Systems ◽  
Observing Systems

The management of the SEACOOS program and its evolution over a five-year period are reviewed. The topics included pertain to the mechanisms used to create a consortium, define its mission, develop and manage its annual budget and tasking cycle; and the history of its focus over a five-year period. The management of SEACOOS was complex and required significant efforts to develop new approaches and collaborative mechanisms. Changes in management were made as weaknesses were identified and to enable a more unified approach to the evaluation, operations, data management and outreach efforts. A number of programmatic lessons learned are summarized that may be of value for future development of regional coastal ocean observing systems.

Learnings From Data Management and Integration Efforts on the Enbridge Pipeline System

2004 ◽  
Author(s):  
Garry L. Sommer ◽  
Brad S. Smith
Keyword(s):  
Data Management ◽  
Management Program ◽  
Pipeline System ◽  
Data Set ◽  
Data Alignment ◽  
Commercial Market ◽  
History Of ◽  
Integrity Management ◽  
Management Effort ◽  
Analysis System

Enbridge Pipelines Inc. operates one of the longest and most complex pipeline systems in the world. A key aspect of the Enbridge Integrity Management Program (IMP) is the trending, analysis, and management of data collected from over 50 years of pipeline operations. This paper/presentation describes Enbridge’s challenges, learnings, processes, and innovations for meeting today’s increased data management/integration demands. While much has been written around the premise of data management/integration, and many software solutions are available in the commercial market, the greatest data management challenge for mature pipeline operators arises from the variability of data (variety of technologies, data capture methods, and data accuracy levels) collected over the operating history of the system. Ability to bring this variable data set together is substantially the most difficult aspect of a coordinated data management effort and is critical to the success of any such project. Failure to do this will result in lack of user confidence and inability to gain “buy-in” to new data management processes. In 2001 Enbridge began a series of initiatives to enhance data management and analysis. Central to this was the commitment to accurate geospatial alignment of integrity data. This paper/presentation describes Enbridge’s experience with development of custom software (Integrated Spatial Analysis System – ISAS) including critical learnings around a.) Data alignment efforts and b.) Significant efforts involved in development of an accurate pipe centreline. The paper/presentation will also describe co-incident data management programs that link to ISAS. This includes enhanced database functionality for excavation data and development of software to enable electronic transfer of data to this database. These tools were built to enable rapid transfer of field data and “real time” tool validation through automated unity plots of tool defect data vs. that measured in the field.

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