scholarly journals Digital Archiving and Process Management in the Bavarian State Department of Monuments and Sites

2021 ◽  
Author(s):  
Silke Jantos ◽  
C. Sebastian Sommer
Keyword(s):  
Data Model ◽  
Data Exchange ◽  
Process Management ◽  
Rapid Development ◽  
State Department ◽  
Process Data ◽  
Archaeological Heritage ◽  
Conservation Projects ◽  
Homogeneous Data ◽  
Or Applications

Over the last two decades, technical progress for archaeology within the Bavarian State Department of Monuments and Sites (BLfD) underwent rapid development. It began with the establishment of an information system (FIS) where the workflow of the Department of Archaeological Heritage is mapped. The next step consisted of standardisation of data capture for all institutions and companies undertaking excavation. In response, a homogeneous data model was developed and established through the application ExcaBook. In order to guarantee this solution would be used widely, an Importer was created to import data from other databases or applications. Hereafter it is also planned to process data from restoration and conservation projects, using a similar approach in order to work towards improving data exchange between all related sciences.

An Integrated Product and Process Data Model Using Step

1996 ◽  
Author(s):  
Parisa Ghodous ◽  
Denis Vandorpe
Keyword(s):  
Data Model ◽  
Data Exchange ◽  
Manufacturing Systems ◽  
Data Models ◽  
Computer Integrated Manufacturing ◽  
Process Data ◽  
Product Data ◽  
Process Representation ◽  
Product And Process

Abstract The integration in computer integrated manufacturing systems (CIMs) plays a significant role in improving the quality and productivity. To achieve this objective, a uniform product and process representation and an effective, comprehensive and reliable data exchange mechanism are required. Recent works on product data integration have led to STEP (international Standard for Exchange of Product data models). In this paper, we define a model which integrates the STEP product data models with process data models. The idea of classification of STEP product data models is used to classify the process data models. Examples from mechanical industries are included to demonstrate the features of this model.

scholarly journals A Roadmap for STEP-NC Enabled Interoperable Manufacturing

2011 ◽  
Author(s):  
Martin Hardwick ◽  
Fiona Zhao ◽  
Fred Proctor ◽  
Sid Venkatesh ◽  
David Odendahl ◽  
...  
Keyword(s):  
International Collaboration ◽  
Data Model ◽  
Data Exchange ◽  
Process Data ◽  
Design Data ◽  
Tool Paths ◽  
Design Requirements ◽  
Nc Data ◽  
Code Standard ◽  
Iso 6983

STEP-NC is the result of a ten-year international effort to replace the RS274D (ISO 6983) G and M code standard with a modern associative language. The new standard connects CAD design data to CAM process data so that smart applications can understand both the design requirements for a part and the manufacturing solutions developed to make that part. STEP-NC builds on a previous ten-year effort to develop the STEP standard for CAD to CAD and CAD to CAM data exchange, and uses the modern geometric constructs in that standard to specify device independent tool paths, and CAM independent volume removal features. This paper reviews a series of demonstrations carried out to test and validate the STEP-NC standard. These demonstrations were an international collaboration between industry, academia and research agencies. Each demonstration focused on testing and extending the STEP-NC data model for a different application.

Computer prediction of cotton and sporting goods prices in e-commerce environment based on ARIMA model

2021 ◽  
pp. 002072092098370
Author(s):  
Huijun Jiang ◽  
Xinke Leng ◽  
Myeong-cheol Choi
Keyword(s):  
Process Management ◽  
Rapid Development ◽  
Arima Model ◽  
Future Price ◽  
Computer Prediction ◽  
Production Sector ◽  
Cotton Price ◽  
Economic Decision Making ◽  
Short Run ◽  
Sporting Goods

In the current society, e-commerce is enjoying extremely rapid development, with a goal of helping enterprises smooth their production process, management process and trade process. China has always been the center of world's garment industry, especially in the production sector of sportswear, in which it has become the world's sportswear production outsourcing center and an important market. In this paper, time series analysis method is used to analyze the weekly data of settlement price of common cotton price (unit: yuan/ton) from March 3rd, 2003 to May 7th, 2012 in China. ARIMA (2,1,3) model is established to fit and predict the future price of Chinese sportswear. The fitting results show that the prediction effect of the model is quite impressive, that in a short run, the settlement price of ordinary blended Cotton price will continue to rise. This result can provide certain reference for enterprises closely related to sportswear production enterprises, to seek profits and avoid disadvantages, and grasp the initiative of economic decision-making to win profits for enterprises.

scholarly journals A Comprehensive Survey on Cyber-Physical Smart Grid Testbed Architectures: Requirements and Challenges

Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1043
Author(s):  
Abdallah A. Smadi ◽  
Babatunde Tobi Ajao ◽  
Brian K. Johnson ◽  
Hangtian Lei ◽  
Yacine Chakhchoukh ◽  
...  
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Smart Grids ◽  
Data Exchange ◽  
Information Technologies ◽  
New Technologies ◽  
Rapid Development ◽  
Environmental Benefits ◽  
Future Research ◽  
Time Data

The integration of improved control techniques with advanced information technologies enables the rapid development of smart grids. The necessity of having an efficient, reliable, and flexible communication infrastructure is achieved by enabling real-time data exchange between numerous intelligent and traditional electrical grid elements. The performance and efficiency of the power grid are enhanced with the incorporation of communication networks, intelligent automation, advanced sensors, and information technologies. Although smart grid technologies bring about valuable economic, social, and environmental benefits, testing the combination of heterogeneous and co-existing Cyber-Physical-Smart Grids (CP-SGs) with conventional technologies presents many challenges. The examination for both hardware and software components of the Smart Grid (SG) system is essential prior to the deployment in real-time systems. This can take place by developing a prototype to mimic the real operational circumstances with adequate configurations and precision. Therefore, it is essential to summarize state-of-the-art technologies of industrial control system testbeds and evaluate new technologies and vulnerabilities with the motivation of stimulating discoveries and designs. In this paper, a comprehensive review of the advancement of CP-SGs with their corresponding testbeds including diverse testing paradigms has been performed. In particular, we broadly discuss CP-SG testbed architectures along with the associated functions and main vulnerabilities. The testbed requirements, constraints, and applications are also discussed. Finally, the trends and future research directions are highlighted and specified.

scholarly journals From OpenEHR to FHIR and OMOP Data Model for Microbiology Findings

2021 ◽  
Author(s):  
Eugenia Rinaldi ◽  
Sylvia Thun
Keyword(s):  
Infection Control ◽  
Data Model ◽  
Data Exchange ◽  
Control Group ◽  
Common Data Model ◽  
University Hospitals ◽  
Data Set ◽  
Related Data ◽  
National Initiative ◽  
Data Elements

HiGHmed is a German Consortium where eight University Hospitals have agreed to the cross-institutional data exchange through novel medical informatics solutions. The HiGHmed Use Case Infection Control group has modelled a set of infection-related data in the openEHR format. In order to establish interoperability with the other German Consortia belonging to the same national initiative, we mapped the openEHR information to the Fast Healthcare Interoperability Resources (FHIR) format recommended within the initiative. FHIR enables fast exchange of data thanks to the discrete and independent data elements into which information is organized. Furthermore, to explore the possibility of maximizing analysis capabilities for our data set, we subsequently mapped the FHIR elements to the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM). The OMOP data model is designed to support the conduct of research to identify and evaluate associations between interventions and outcomes caused by these interventions. Mapping across standard allows to exploit their peculiarities while establishing and/or maintaining interoperability. This article provides an overview of our experience in mapping infection control related data across three different standards openEHR, FHIR and OMOP CDM.

Intelligent Product Data Exchange

1999 ◽  
Author(s):  
Karl-H. Grote ◽  
Soeren Schumann
Keyword(s):  
Engineering Design ◽  
Data Model ◽  
Data Exchange ◽  
Product Data ◽  
Engineering Design Process ◽  
Problems And Solutions ◽  
Computer Based ◽  
Software Platforms ◽  
Product Data Model ◽  
Intelligent Product

Abstract The computer based engineering design process today is characterized by a large variety of (specialized) systems. This and the ongoing globalization and outsourcing of engineering services and competencies causes an increased need for data exchange over the borders of the numerous CAx-systems. Under these circumstances, data exchange has been playing an important role for time and cost sensitive development and manufacturing in every field of industry. This paper presents actual problems and solutions of data exchange over the borders of modern software platforms. It includes the description of possible influences on a product data model and introduces the latest data exchange concepts.

Sensed Data Sharing in Cloud Federation for Advances in Health Information Exchange

2013 ◽  
Vol 3 (4) ◽  
pp. 36-50
Author(s):  
Antonio Celesti ◽  
Maria Fazio ◽  
Antonio Puliafito ◽  
Massimo Villari
Keyword(s):  
Data Model ◽  
Information Exchange ◽  
Data Exchange ◽  
Health Information Exchange ◽  
Distributed Approach ◽  
Efficient Management ◽  
Sensing Systems ◽  
New Information ◽  
Open Source Framework ◽  
Administrative Domains

In this paper the authors focus on sensing systems supporting data exchange among several healthcare administrative domains. The challenge in this area is twofold: efficient management of a huge amount of data produced by medical devices, bio-sensors and information systems, sharing sensed data for scientific and clinical purposes. The authors present a new information system that exploits Cloud computing capabilities to overcome such issues, also guaranteeing patients' privacy. Their proposal integrates different healthcare institutions into a federated environment, thus establishing a trust context among the institutions themselves. The storage service is designed according to a fully distributed approach and it is based on the wide-used Open Source framework Hadoop, which is enriched to establish a compelling federated system. They adopt the XRI technology to formalize an XML-based data model which allows to simplify the classification, searching and retrieval of medical data.

scholarly journals Quantifying the Impacts of Economic Progress, Economic Structure, Urbanization Process, and Number of Vehicles on PM2.5 Concentration: A Provincial Panel Data Model Analysis of China

2019 ◽  
Vol 16 (16) ◽  
pp. 2926 ◽  
Author(s):  
Haoran Zhao ◽  
Sen Guo ◽  
Huiru Zhao
Keyword(s):  
Panel Data ◽  
Data Model ◽  
Urban Areas ◽  
Industrial Development ◽  
Anthropogenic Activities ◽  
Rapid Development ◽  
Economic Structure ◽  
Panel Data Model ◽  
Urbanization Process ◽  
Economic Progress

With the rapid development of China’s economy, the environmental problems are becoming increasingly prominent, especially the PM2.5 (particulate matter with diameter smaller than 2.5 μm) concentrations that have exerted adverse influences on human health. Considering the fact that PM2.5 concentrations are mainly caused by anthropogenic activities, this paper selected economic growth, economic structure, urbanization, and the number of civil vehicles as the primary factors and then explored the nexus between those variables and PM2.5 concentrations by employing a panel data model for 31 Chinese provinces. The estimated model showed that: (1) the coefficients of the variables for provinces located in North, Central, and East China were larger than that of other provinces; (2) GDP per capita made the largest contribution to PM2.5 concentrations, while the number of civil vehicles made the least contribution; and (3) the higher the development level of a factor, the greater the contribution it makes to PM2.5 concentrations. It was also found that a bi-directional Granger causal nexus exists between PM2.5 concentrations and economic progress as well as between PM2.5 concentrations and the urbanization process for all provinces. Policy recommendations were finally obtained through empirical discussions, which include that provincial governments should adjust the economic and industrial development patterns, restrict immigration to intensive urban areas, decrease the successful proportion of vehicle licenses, and promote electric vehicles as a substitute to petrol vehicles.

Designing Technological Procedure of Cylinder Assembly Mounting Using IDEF Standard

2015 ◽  
Vol 806 ◽  
pp. 48-55
Author(s):  
Zoran Nikolić ◽  
Darko Savić ◽  
Milan Nikolić ◽  
Miodrag Nikolić
Keyword(s):  
Information System ◽  
Technological Process ◽  
Data Model ◽  
Information Technologies ◽  
Mechanical Engineering ◽  
Business Processes ◽  
Process Data ◽  
Information Modelling ◽  
Manipulation Process

Mechanical engineering is one of the fields in which contemporary information technologies are widely applied. Technologies of production mounting processes impose a need for designing software solutions which would significantly improve their performances. First of all, we refer to the acceleration of manipulation process of the integral parts of assembly, their modification and mounting processes themselves. The set of integrated IDEF methods represents basic tools of contemporary strategies and technologies for the advancement of technological and business processes. Within the implementation of the project “Information system of the cylinder assembly mounting technology“, we have conducted a functional and information modelling of technological process of cylinder assembly mounting by applying IDEF method. By information modelling of process data, the conditions for the development of an applicative data model are created.

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