scholarly journals Applying Class Distance to Decide Similarity on Information Models for Automated Data Interoperability

2021 ◽  
Vol 31 (03) ◽  
pp. 405-434
Author(s):  
Lan Wang ◽  
Shinpei Hayashi ◽  
Motoshi Saeki
Keyword(s):  
Data Exchange ◽  
Heterogeneous Systems ◽  
Critical Issue ◽  
Distance Graph ◽  
Semantic Features ◽  
Data Interoperability ◽  
Information Models ◽  
The Internet Of Things ◽  
Exchange Data

In the world of the Internet of Things (IoT), heterogeneous systems and devices need to be connected and exchange data with others. How data exchange can be automatically realized becomes a critical issue. An information model (IM) is frequently adopted and utilized to solve the data interoperability problem. Meanwhile, as IoT systems and devices can have different IMs with different modeling methodologies and formats such as UML, IEC 61360, etc., automated data interoperability based on various IMs is recognized as an urgent problem. In this paper, we propose an approach to automate the data interoperability, i.e. data exchange among similar entities in different IMs. First, similarity scores among entities are calculated based on their syntactic and semantic features. Then, in order to precisely get similar candidates to exchange data, a concept of class distance calculated with a Virtual Distance Graph (VDG) is proposed to narrow down obtained similar properties for data exchange. Through analyzing the results of a case study, the class distance based on VDG can effectively improve the precisions of calculated similar properties. Furthermore, data exchange rules can be generated automatically. The results reveal that the approach of this research can efficiently contribute to resolving the data interoperability problem.

Security Framework for Tuberculosis Health Data Interoperability Through the Semantic Web

2021 ◽  
Vol 13 (2) ◽  
pp. 36-57
Author(s):  
Vinicius Costa Lima ◽  
Felipe Carvalho Pellison ◽  
Filipe Andrade Bernardi ◽  
Domingos Alves ◽  
Rui Pedro Charters Lopes Rijo
Keyword(s):  
Semantic Web ◽  
Data Security ◽  
Data Exchange ◽  
Health Data ◽  
Quality Data ◽  
Security Framework ◽  
Case Scenario ◽  
Health Organizations ◽  
Data Interoperability ◽  
Exchange Data

One of the critical challenges in health information systems is interoperability. The clinical, strategic, and operational decision depends on quality data and the ability to exchange data inter-systems and inter-health organizations. The Semantic Web plays a cornerstone role as a technology to enable functional and semantic interoperability without substantial changes in existing systems and to improve data sharing capabilities and, consequently, its quality and completeness. However, a common concern is data security. In this context, this research proposes a framework for securing health data, with a real case scenario focused on tuberculosis data exchange over the Semantic Web. The needs of security for the Semantic Web were satisfied, helping to build trust in the data and promoting its use in contexts that were not initially created to openly disseminate data without a significant technological apparatus.

OPC UA Information Modeling: A Case Study for Smart House

2012 ◽  
Vol 241-244 ◽  
pp. 2862-2866
Author(s):  
Myeong Jae Yi ◽  
Mai Son
Keyword(s):  
Data Exchange ◽  
Information Modeling ◽  
Process Data ◽  
High Performing ◽  
Modeling Concept ◽  
Information Models ◽  
Automation Systems ◽  
Standard Information ◽  
Smart House

Nowadays automation systems become more and more heterogeneous with various technologies and standards from different companies and vendors. Each technology has its own concept to model and present process data, leading to the need of a uniform view for the whole systems. OPC UA specification, the next generation of Classic OPC Standards, was introduced as a promising standard that is a good solution to address the issue. Some remarkable advantages of OPC UA have attracted attention: (i) information modeling, (ii) high-performing communication, and (iii) enhanced security mechanism. This paper aims at contributing in the first and big advantage of OPC UA, information modeling concept. Whereas Classic OPC has a poor and simple meta-data model providing tags, OPC UA uses standard information models to lift interoperability to the next level. It allows not only interoperable data exchange but also interoperable model. In our work, information modeling concept based on object-oriented techniques is exemplified by means of a case study for Smart House.

scholarly journals Ontology-Defined Middleware for Internet of Things Architectures

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1163 ◽  
Author(s):  
Víctor Caballero ◽  
Sergi Valbuena ◽  
David Vernet ◽  
Agustín Zaballos
Keyword(s):  
Internet Of Things ◽  
Data Exchange ◽  
The Internet ◽  
Semantic Web Technologies ◽  
Web Of Things ◽  
Web Technologies ◽  
Massive Number ◽  
The Internet Of Things ◽  
Exchange Data ◽  
The Web

The Internet of Things scenario is composed of an amalgamation of physical devices. Those physical devices are heterogeneous in their nature both in terms of communication protocols and in data exchange formats. The Web of Things emerged as a homogenization layer that uses well-established web technologies and semantic web technologies to exchange data. Therefore, the Web of Things enables such physical devices to the web, they become Web Things. Given such a massive number of services and processes that the Internet of Things/Web of Things enables, it has become almost mandatory to describe their properties and characteristics. Several web ontologies and description frameworks are devoted to that purpose. Ontologies such as SOSA/SSN or OWL-S describe the Web Things and their procedures to sense or actuate. For example, OWL-S complements SOSA/SSN in describing the procedures used for sensing/actuating. It is, however, not its scope to be specific enough to enable a computer program to interpret and execute the defined flow of control. In this work, it is our goal to investigate how we can model those procedures using web ontologies in a manner that allows us to directly deploy the procedure implementation. A prototype implementation of the results of our research is implemented along with an analysis of several use cases to show the generality of our proposal.

scholarly journals Rapid LEED evaluation performed with BIM based sustainability analysis on a virtual construction project

2015 ◽  
Vol 15 (2) ◽  
pp. 134-150 ◽  
Author(s):  
Zaid Alwan ◽  
David Greenwood ◽  
Barry Gledson
Keyword(s):  
Data Exchange ◽  
Environmental Design ◽  
Building Design ◽  
Ecological Impacts ◽  
Low Carbon ◽  
Data Interoperability ◽  
Content Type ◽  
Building Information ◽  
Design Competition

Purpose – The purpose of this study is to examine the feasibility of using 3D simulation transfer processes to streamline the environmental assessment of buildings that have been designed digitally using building information modelling (BIM). The case study presented relates to a competition (“Build Qatar Live”) in which one of the winning team’s objectives was to create a smart process for assessing the design against the Leadership in Energy and Environmental Design (LEED) criteria. The experience indicated that a rapid, concurrent and efficient LEED evaluation was possible within the BIM process. The study presents technological approaches that can be adopted within the BIM environment to simplify the environmental assessments and embrace practices that reduce environmental and ecological impacts. Design/methodology/approach – The methodology encompassed an overview of how rapid high-value data exchange occurs within BIM to achieve a sustainable building design as part of an international design competition. Achieving a LEED rating through sustainable design was a key requirement of the competition. Findings – The findings of this case study has revealed that key credits in LEED can be integrated within the BIM design process. Therefore, tackling such important environmental design issues in parallel to building design and providing key information on building elements needed to meet the sustainability criteria. Originality/value – This research highlights the benefits of streamlined, architectural and data software exchange through applying data interoperability of a building design; thus, skipping conventional 2D building and conventional documentation for environmental and energy designs simulations needed for LEED certifications and general low carbon design.

A Research Study on Event Prediction in IoT Based Upon WBAN

2018 ◽  
Vol 8 (5) ◽  
pp. 116
Author(s):  
Krittika Singh
Keyword(s):  
Research Study ◽  
Network Connectivity ◽  
Physical World ◽  
Flight Schedules ◽  
Event Prediction ◽  
Software Sensors ◽  
Medical Emergencies ◽  
Computer Based ◽  
The Internet Of Things ◽  
Exchange Data

The Internet of things is the internetworking of physical devices, vehicles, buildings, and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. The IoT allows objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. In this research an expert system based upon the IOT is developed in which the next event in the flight schedules due to any kind of medical emergencies is to be predicted. For this the medical data of all the patients are to be collected through WBAN.

scholarly journals The European Bioinformatics Institute in 2020: building a global infrastructure of interconnected data resources for the life sciences

2019 ◽  
Vol 48 (D1) ◽  
pp. D17-D23 ◽  
Author(s):  
Charles E Cook ◽  
Oana Stroe ◽  
Guy Cochrane ◽  
Ewan Birney ◽  
Rolf Apweiler
Keyword(s):  
Data Exchange ◽  
Life Sciences ◽  
Image Data ◽  
European Bioinformatics Institute ◽  
Added Value ◽  
Value Analysis ◽  
Starting Point ◽  
Core Mission ◽  
Training Team ◽  
Exchange Data

Abstract Data resources at the European Bioinformatics Institute (EMBL-EBI, https://www.ebi.ac.uk/) archive, organize and provide added-value analysis of research data produced around the world. This year's update for EMBL-EBI focuses on data exchanges among resources, both within the institute and with a wider global infrastructure. Within EMBL-EBI, data resources exchange data through a rich network of data flows mediated by automated systems. This network ensures that users are served with as much information as possible from any search and any starting point within EMBL-EBI’s websites. EMBL-EBI data resources also exchange data with hundreds of other data resources worldwide and collectively are a key component of a global infrastructure of interconnected life sciences data resources. We also describe the BioImage Archive, a deposition database for raw images derived from primary research that will supply data for future knowledgebases that will add value through curation of primary image data. We also report a new release of the PRIDE database with an improved technical infrastructure, a new API, a new webpage, and improved data exchange with UniProt and Expression Atlas. Training is a core mission of EMBL-EBI and in 2018 our training team served more users, both in-person and through web-based programmes, than ever before.

scholarly journals Reservoir Sediment Management Using Artificial Neural Networks: A Case Study of the Lower Section of the Alpine Saalach River

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 818
Author(s):  
Markus Reisenbüchler ◽  
Minh Duc Bui ◽  
Peter Rutschmann
Keyword(s):  
Real World ◽  
Close Correlation ◽  
Critical Issue ◽  
Management Tool ◽  
Lower Section ◽  
Reservoir Sediment ◽  
Efficiency And Effectiveness ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

Reservoir sedimentation is a critical issue worldwide, resulting in reduced storage volumes and, thus, reservoir efficiency. Moreover, sedimentation can also increase the flood risk at related facilities. In some cases, drawdown flushing of the reservoir is an appropriate management tool. However, there are various options as to how and when to perform such flushing, which should be optimized in order to maximize its efficiency and effectiveness. This paper proposes an innovative concept, based on an artificial neural network (ANN), to predict the volume of sediment flushed from the reservoir given distinct input parameters. The results obtained from a real-world study area indicate that there is a close correlation between the inputs—including peak discharge and duration of flushing—and the output (i.e., the volume of sediment). The developed ANN can readily be applied at the real-world study site, as a decision-support system for hydropower operators.

scholarly journals Selecting Optimal Combination of Data Channels for Semantic Segmentation in City Information Modelling (CIM)

2021 ◽  
Vol 13 (7) ◽  
pp. 1367
Author(s):  
Yuanzhi Cai ◽  
Hong Huang ◽  
Kaiyang Wang ◽  
Cheng Zhang ◽  
Lei Fan ◽  
...  
Keyword(s):  
Large Scale ◽  
Semantic Segmentation ◽  
Optimal Combination ◽  
Reconstruction Technique ◽  
Process Data ◽  
Redundant Data ◽  
Multiple Data ◽  
Information Models ◽  
Efficient Data

Over the last decade, a 3D reconstruction technique has been developed to present the latest as-is information for various objects and build the city information models. Meanwhile, deep learning based approaches are employed to add semantic information to the models. Studies have proved that the accuracy of the model could be improved by combining multiple data channels (e.g., XYZ, Intensity, D, and RGB). Nevertheless, the redundant data channels in large-scale datasets may cause high computation cost and time during data processing. Few researchers have addressed the question of which combination of channels is optimal in terms of overall accuracy (OA) and mean intersection over union (mIoU). Therefore, a framework is proposed to explore an efficient data fusion approach for semantic segmentation by selecting an optimal combination of data channels. In the framework, a total of 13 channel combinations are investigated to pre-process data and the encoder-to-decoder structure is utilized for network permutations. A case study is carried out to investigate the efficiency of the proposed approach by adopting a city-level benchmark dataset and applying nine networks. It is found that the combination of IRGB channels provide the best OA performance, while IRGBD channels provide the best mIoU performance.

scholarly journals Adaptive Data Synchronization Algorithm for IoT-Oriented Low-Power Wide-Area Networks

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 4053 ◽  
Author(s):  
Andrea Petroni ◽  
Francesca Cuomo ◽  
Leonisio Schepis ◽  
Mauro Biagi ◽  
Marco Listanti ◽  
...  
Keyword(s):  
Low Power ◽  
Mobile Communications ◽  
Data Exchange ◽  
Energy Savings ◽  
Wide Area ◽  
Wide Area Networks ◽  
Battery Life ◽  
File Synchronization ◽  
The Internet Of Things

The Internet of Things (IoT) is by now very close to be realized, leading the world towards a new technological era where people’s lives and habits will be definitively revolutionized. Furthermore, the incoming 5G technology promises significant enhancements concerning the Quality of Service (QoS) in mobile communications. Having billions of devices simultaneously connected has opened new challenges about network management and data exchange rules that need to be tailored to the characteristics of the considered scenario. A large part of the IoT market is pointing to Low-Power Wide-Area Networks (LPWANs) representing the infrastructure for several applications having energy saving as a mandatory goal besides other aspects of QoS. In this context, we propose a low-power IoT-oriented file synchronization protocol that, by dynamically optimizing the amount of data to be transferred, limits the device level of interaction within the network, therefore extending the battery life. This protocol can be adopted with different Layer 2 technologies and provides energy savings at the IoT device level that can be exploited by different applications.

Standards for the Internet of Things: A Case Study in Disaster Response

Computer ◽  
2016 ◽  
Vol 49 (5) ◽  
pp. 87-90 ◽  
Author(s):  
Phillip A. Laplante ◽  
Jeffrey Voas ◽  
Nancy Laplante
Keyword(s):  
Internet Of Things ◽  
Disaster Response ◽  
The Internet ◽  
The Internet Of Things
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