A Study on the Integrated Information Model for the Ship Lifecycle Data Exchange during Operation Phase

2020 ◽  
Vol 25 (1) ◽  
pp. 88-99
Author(s):  
Ho-Jin Hwang ◽  
Gum-Jun Son ◽  
Hong-Bae Jun
1995 ◽  
Author(s):  
Hwa T. Kho ◽  
Lu J. Huang ◽  
Daniel J. Valentino ◽  
Gregory H. Tashima ◽  
Ricky K. Taira ◽  
...  

Author(s):  
Reinhard Heister ◽  
Reiner Anderl

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.


Author(s):  
Mathias Artus ◽  
Mohamed Alabassy ◽  
Christian Koch

Current bridge inspection practices rely on paper-based data acquisition, digitization, and multiple conversions in between incompatible formats to facilitate data exchange. This practice is time-consuming, error-prone, cumbersome, and leads to information loss. One aim for future inspection procedures is to have a fully digitized workflow that achieves loss-free data exchange, which lowers costs and offers higher efficiency. On the one hand, existing studies proposed methods to automatize data acquisition and visualization for inspections. These studies lack an open standard to make the gathered data available for other processes. On the other hand, several studies discuss data structures for exchanging damage information through out different stakeholders. However, those studies do not cover the process of automatic data acquisition and transfer. This study focused on a framework that incorporates automatic damage data acquisition, transfer, and a damage information model for data exchange. This enables inspectors to use damage data for subsequent analyses and simulations. The proposed framework shows the potentials for a comprehensive damage information model and related (semi-)automatic data acquisition and processing.


Author(s):  
C. Yang ◽  
F. Han ◽  
H. Wu ◽  
Z. Chen

<p><strong>Abstract.</strong> With the repaid development of Building Information Modelling (BIM), many scholars began to explore the BIM-adaption in landscape field. Landscape Information Modelling (LIM) is the corresponding concept created and used in landscape architecture discipline. However, cultural landscape heritage, as a special cultural heritage category, have specific objectives, principles and methodologies in conservation and management. It is necessary to explore an integrated information framework to facilitate the digital management of cultural landscape information. The aim of this paper is to explore an integrated information framework, which I call a ‘Heritage Landscape Information Model (HLIM)’, to facilitate cultural landscape heritage practices in China. This research examined the Digital Scenic Area project as instrumental case studies to identify the main components for a HLIM. As the two major components of cultural landscape heritage, both the physical features and the non-physical landscapes experiences were identified in this paper. The large amount of intangible heritage aspects indicated the significant differences between a HLIM and a BIM. Accordingly, a conceptual framework to represent ‘cultural experiences’ was identified with certain categories of landscape features and attributes. In terms of technologies, firstly, this research revealed that virtual reality was the most prioritised tool used in the current landscape conservation practices in China. Secondly, the other required system includes landscape-monitoring tools and the automation office work. Lastly, a HLIM also needs to contain a special information platform for cultural and historical information. The components identified in this paper could potentially contribute to an integrated conceptual framework of HLIM in China. The conclusion identified several implications for technology development.</p>


Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8525
Author(s):  
Jihui Hwang ◽  
Yun-Sik Oh ◽  
Jin-Uk Song ◽  
Jae-Guk An ◽  
Jin-Hong Jeon

The rigidity of information technology (IT) has been hindering the development of various businesses regarding energy management systems (EMSs) of power networks, although this area has become more diversified, resulting in changes of elements in the systems due to the introduction of renewable energy (RE) and the new energy industry. In order to effectively accommodate these changes, EMSs should be developed in a structure with a standard-based interface, which can secure interoperability between components in the EMS. In previous studies, the common information model (CIM) proposed by IEC TC57 has been utilized for developing EMSs of power networks, but there are gaps between the existing CIM and an information model for the EMSs of carbon-free island microgrids (MGs), which are a newly introduced form of power network covering multiple islands for reducing carbon emissions. This paper proposes a CIM-based software platform for a carbon-free island MG-EMS to efficiently operate the power network and secure interoperability between components in the MG-EMS. Concerning service restoration of the power network, use cases and business objects representing information exchanged between the components in the EMS are derived, and the existing CIM is extended based on the results of the gap analysis in order to provide necessary information on the MG-EMS. The validity of the proposed platform is verified by exchanging payloads between components in the MG-EMS based on the profile extracted from the extended CIM. Furthermore, the performance of the proposed platform regarding data size and speed of data exchange is presented. Based on the case study results, it is concluded that the proposed platform based on the extended CIM can exchange data between the components in the MG-EMS, achieving reasonable data size and speed of data exchange with the help of the interoperability between components in the carbon-free island MG-EMS.


2021 ◽  
Author(s):  
AYAN CHATTERJEE ◽  
Andreas Prinz

BACKGROUND Interoperability is a challenge in healthcare information systems because of heterogeneity in semantic and technical levels of data. It creates a problem in exchanging data from different sources. Person-Generated Health Data (PGHD) is health-related data created, recorded, or collected by individuals or family members, or caregivers. PGHD can be captured passively and continuously to create a more accurate and comprehensive picture of the individual. PGHD is a category of Personal Health Records (PHR) that helps people to store and manage their health records. The rapid growth of PHRs and standards to exchange PHRs in a secure way have improved different aspects of health practices and personal care. OBJECTIVE This is a two-fold study. First, this study aims to investigate Health Level 7’s (HL7) new standard, Fast Healthcare Interoperable Resources (FHIR), as a standard format to explain information model (personal, physiological, and behavioral data from heterogeneous sources, such as activity sensor, questionnaire, and interview) and clinical terminologies together. Second, we explore the protocol’s advantages in some detail and critically analyze endpoint security of the HL7 application programming interface (HAPI). METHODS To address the interoperability problem, we combine FHIR and internationally acclaimed medical terminologies and use JavaScript object notion (JSON) to represent and exchange PGHD. We develop a secure digital infrastructure with TSD (services for sensitive data) as Infrastructure as a Service (IaaS), where we deploy the HAPI FHIR server as a docker image. We integrate the concepts such as authentication, authorization, and identity brokering to protect HAPI REST interfaces. PGHD inside TSD are protected following the Norwegian Data Protection Policies (NORMEN) and General Data Protection Regulation (GDPR). We use personal, physiological, and behavioral data involved in health monitoring and store them in the TSD database using the HAPI FHIR server. Storage and retrieval of PGHD from TSD are HL7 compliant. RESULTS First, we discuss storing PGHD in TSD and retrieving it from TSD following HL7 protocol using the HAPI FHIR server in JSON format, combining the information model and medical terminologies. Second, it describes how to secure HAPI REST APIs with the TSD platform. CONCLUSIONS FHIR resources can establish a coherent view of PGHD collected from heterogeneous sources by enabling flexible data exchange between stakeholders and service providers. Besides, the study reveals that TSD is a secure platform for the management of PGHD. CLINICALTRIAL NA


2017 ◽  
Vol 24 (5) ◽  
pp. 882-890 ◽  
Author(s):  
Lauren B Becnel ◽  
Smita Hastak ◽  
Wendy Ver Hoef ◽  
Robert P Milius ◽  
MaryAnn Slack ◽  
...  

Abstract Background: It is critical to integrate and analyze data from biological, translational, and clinical studies with data from health systems; however, electronic artifacts are stored in thousands of disparate systems that are often unable to readily exchange data. Objective: To facilitate meaningful data exchange, a model that presents a common understanding of biomedical research concepts and their relationships with health care semantics is required. The Biomedical Research Integrated Domain Group (BRIDG) domain information model fulfills this need. Software systems created from BRIDG have shared meaning “baked in,” enabling interoperability among disparate systems. For nearly 10 years, the Clinical Data Standards Interchange Consortium, the National Cancer Institute, the US Food and Drug Administration, and Health Level 7 International have been key stakeholders in developing BRIDG. Methods: BRIDG is an open-source Unified Modeling Language–class model developed through use cases and harmonization with other models. Results: With its 4+ releases, BRIDG includes clinical and now translational research concepts in its Common, Protocol Representation, Study Conduct, Adverse Events, Regulatory, Statistical Analysis, Experiment, Biospecimen, and Molecular Biology subdomains. Interpretation: The model is a Clinical Data Standards Interchange Consortium, Health Level 7 International, and International Standards Organization standard that has been utilized in national and international standards-based software development projects. It will continue to mature and evolve in the areas of clinical imaging, pathology, ontology, and vocabulary support. BRIDG 4.1.1 and prior releases are freely available at https://bridgmodel.nci.nih.gov.


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