Emerging open data exchange standards and communication technology in Russia

First Break ◽  
2013 ◽  
Vol 31 (3) ◽  
Author(s):  
V. Turchaninov ◽  
N. Zakharova ◽  
J. Hubbard
Keyword(s):  
Communication Technology ◽  
Data Exchange ◽  
Open Data

scholarly journals SEGMENTATION AND CLASSIFICATION OF NEPAL EARTHQUAKE INDUCED LANDSLIDES USING SENTINEL-1 PRODUCT

2016 ◽  
Vol XLI-B7 ◽  
pp. 769-774
Author(s):  
Saket Kunwar
Keyword(s):  
Data Exchange ◽  
Open Data ◽  
Object Oriented ◽  
Ground Truth ◽  
British Geological Survey ◽  
Exchange Program ◽  
Amplitude Data ◽  
Richter Scale ◽  
Data Commons

On April 26, 2015, an earthquake of magnitude 7.8 on the Richter scale occurred, with epicentre at Barpak (28°12'20''N,84°44'19''E), Nepal. Landslides induced due to the earthquake and its aftershock added to the natural disaster claiming more than 9000 lives. Landslides represented as lines that extend from the head scarp to the toe of the deposit were mapped by the staff of the British Geological Survey and is available freely under Open Data Commons Open Database License(ODC-ODbL) license at the Humanitarian Data Exchange Program. This collection of 5578 landslides is used as preliminary ground truth in this study with the aim of producing polygonal delineation of the landslides from the polylines via object oriented segmentation. Texture measures from Sentinel-1a Ground Range Detected (GRD) Amplitude data and eigenvalue-decomposed Single Look Complex (SLC) polarimetry product are stacked for this purpose. This has also enabled the investigation of landslide properties in the H-Alpha plane, while developing a classification mechanism for identifying the occurrence of landslides.

scholarly journals An ontology to support evidence-based Functional Behavioral Assessments

2015 ◽  
Author(s):  
Davide Taibi ◽  
Giuseppe Chiazzese ◽  
Gianluca Merlo ◽  
Luciano Seta
Keyword(s):  
Functional Assessment ◽  
Data Exchange ◽  
Behavioral Therapy ◽  
Behavioral Assessment ◽  
Open Data ◽  
Comprehensive Overview ◽  
Behavioural Treatment ◽  
Target Behaviour ◽  
Behavioral Assessments ◽  
The Individual

The term Functional Behavioral Assessment (FBA) refers to a set of multiple assessment strategies aimed to identify specific antecedents and consequences that maintain a target behaviour (Du Paul, 1996). In the context of FBA, standards and protocols to support the data exchange between researchers, health professionals and therapist are under-represented. Moreover, there is a need for sharing common actions and assessment practices in order to improve the application of the FBA. To meet these goals, we propose the definition of an FBA ontology as a tool to describe three specific aspects related to individual, behavioural and assessment data in different contexts of everyday life such as school, family and social environments. The individual data include: diagnoses, medications, school information, discipline referrals and other events, thus providing a comprehensive overview of the individuals and the network of support people with specific roles that collaborates on the individual’s care. The behavioural data include the description of an individual´s target behaviour, and information about places and settings in which the behaviour occurs. The assessment gathers structural behavioural data collections, according to systematic direct observation, and in compliance to the ABC model (antecedents, behavior, and consequences) commonly used in the Cognitive Behavioral Therapy (CBT) for identifying behavioural functions, and designing intervention plans. This data is relevant in supporting statistical analysis in order to evaluate the efficacy of the behavioural treatments. Moreover, the FBA ontology provides a complete model that enables integration and interlinking with other Linked Open Data datasets and repositories thus supporting the sharing of appropriate resources such as behavioural patterns, effective intervention strategies, and behavioural treatments. Finally, the ontology provides the basis for the designing of software applications to support the functional assessment processes. This ontology has been applied in the framework of the WHAAM (Web Health Application for ADHD Monitoring) project, aimed to promote the FBA approach to the behavioural treatment of ADHD children. References: DuPaul, G. J., & Ervin, R. A. (1996). Functional assessment of behaviors related to attention-deficit/hyperactivity disorder: Linking assessment to intervention design. Behavior Therapy, 27(4).

scholarly journals rhizoTrak: A flexible open source Fiji plugin for user-friendly manual annotation of time-series images from minirhizotrons

2019 ◽  
Author(s):  
Birgit Möller ◽  
Hongmei Chen ◽  
Tino Schmidt ◽  
Axel Zieschank ◽  
Roman Patzak ◽  
...  
Keyword(s):  
Time Series ◽  
Open Source ◽  
Data Exchange ◽  
Time Series Data ◽  
Full Range ◽  
Open Data ◽  
Series Data ◽  
Root Turnover ◽  
User Friendly ◽  
Time Series Images

AbstractBackground and aimsMinirhizotrons are commonly used to study root turnover which is essential for understanding ecosystem carbon and nutrient cycling. Yet, extracting data from minirhizotron images requires intensive annotation effort. Existing annotation tools often lack flexibility and provide only a subset of the required functionality. To facilitate efficient root annotation in minirhizotrons, we present the user-friendly open source tool rhizoTrak.Methods and resultsrhizoTrak builds on TrakEM2 and is publically available as Fiji plugin. It uses treelines to represent branching structures in roots and assigns customizable status labels per root segment. rhizoTrak offers configuration options for visualization and various functions for root annotation mostly accessible via keyboard shortcuts. rhizoTrak allows time-series data import and particularly supports easy handling and annotation of time series images. This is facilitated via explicit temporal links (connectors) between roots which are automatically generated when copying annotations from one image to the next. rhizoTrak includes automatic consistency checks and guided procedures for resolving conflicts. It facilitates easy data exchange with other software by supporting open data formats.ConclusionsrhizoTrak covers the full range of functions required for user-friendly and efficient annotation of time-series images. Its flexibility and open source nature will foster efficient data acquisition procedures in root studies using minirhizotrons.

scholarly journals METHODS AND MEANS OF ENSURING THE INTEROPERABILITY OF THE COMPONENTS OF THE NATIONAL GEOSPATIAL DATA INFRASTRUCTURE

2021 ◽  
pp. 309-319
Author(s):  
Anatoliy Lyashchenko ◽  
Yuriy Karpinskyi ◽  
Yevheniy Havryliuk ◽  
Andriy Cherin
Keyword(s):  
Data Exchange ◽  
Open Data ◽  
Geographic Information ◽  
Classification Systems ◽  
International Standards ◽  
Geospatial Data ◽  
Organizational Level ◽  
Successful Implementation ◽  
Data Infrastructure ◽  
Technical Regulations

Interoperability is one of the key characteristics of the national geospatial data infrastructure (NSDI), on which depends the effectiveness of the interaction of holders, producers and users of geospatial data in the network of geoportals. The article substantiates the methods and means of achieving a high level of interoperability of the components of the Ukraine NSDI on the basis of ensuring the consistency of geospatial data supplied by different data producers, standardization of metadata and interfaces of geoinformation services. It is established that the bases of the legislative and organizational level of interoperability are defined in the Law of Ukraine "On the national geospatial data infrastructure " and in the "Procedure for the operation of NSDI". To ensure the interoperability of the components of the Ukraine NSDI at the semantic and technical levels, it is necessary to develop a set of technical regulations that define common requirements for: composition and structure of metadata, interfaces and functions of geographic information services, compatibility of geospatial data sets, classification systems, coding and unique identification of geospatial objects, open data exchange formats. These technical regulations should be based on the consistent and comprehensive implementation of the methodology of the basic international standards of the ISO 19100 Geographic Information / Geomatics series, the effectiveness of which has been confirmed by the successful implementation of NSDI in many countries of the world. 

scholarly journals Implementation of Open Data Exchange between Architectural Design and Structural Analysis Models

Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 605
Author(s):  
Goran Sibenik ◽  
Iva Kovacic ◽  
Valentinas Petrinas ◽  
Wendelin Sprenger
Keyword(s):  
Structural Analysis ◽  
Architectural Design ◽  
Data Exchange ◽  
Open Data ◽  
Analytical Models ◽  
Design Stage ◽  
Model Based ◽  
Building Models ◽  
Building Information ◽  
Analysis Models

Building information modelling promises model-based collaboration between stakeholders in the project design stage. However, data exchange between physical and analytical building models used for architectural design and structural analysis respectively rarely takes place due to numerous differences in building element representation, especially the representation of geometry. This paper presents the realization of a novel data exchange framework between architectural design and structural analysis building models, based on open interpretations on central storage. The exchange is achieved with a new system architecture, where the program redDim was developed to perform the interpretations, including the most challenging transformations of geometry. We deliver a proof of concept for the novel framework with a prototype building model and verify it on two further building models. Results show that structural-analysis models can be correctly automatically created by reducing dimensionality and reconnecting building elements. The proposed data exchange provides a base for missing standardization of interpretations, which facilitates the non-proprietary automated conversion between physical and analytical models. This research fills the gap in the existing model-based communication that could lead to a seamless data exchange.

scholarly journals Application of MVP Architecture in Developing Android-Based Seminar Ticket Booking Applications

2020 ◽  
Vol 4 (3) ◽  
pp. 513-520
Author(s):  
I Made Sukarsa ◽  
I Nyoman Piarsa ◽  
I Gede Bagus Premana Putra
Keyword(s):  
Communication Technology ◽  
Data Exchange ◽  
Architecture Model ◽  
Web Service Security ◽  
Loss And Damage ◽  
Information And Communication ◽  
Speed Up ◽  
Android Applications ◽  
E Mail ◽  
Model View

The success of an event, especially a seminar cannot be separated from the success of the organizer to get participants. The scattered challenges faced by the seminar organizers are closely related to the ease and convenience of the procedures applied to order seminar tickets to prospective participants. So that the application of information and communication technology is needed by the organizer as a tool to provide convenience and comfort to prospective participants. Ticket reservations are generally done manually and still use tickets in printed. An application is needed to speed up and simplify the ticket booking process for prospective participants. To solve this problem, prospective seminar participants will use the seminar ticket booking application via a smartphone device. This application uses the RESTful API on the Laravel framework, as one of the implementations of web service. Security of data exchange between android devices and web services using Laravel Passport, as a token generator API. The architecture that is applied in the development of android applications is the MVP architecture (Model, View, Presenter). Using QR-codes on tickets and sending tickets via e-mail participants can also avoid the possibility of loss and damage to tickets obtained by participants.

Pipeline Open Data Standard (PODS) Next Generation Data Model

2018 ◽  
Author(s):  
Peter C. G. Veenstra
Keyword(s):  
Data Management ◽  
Data Model ◽  
Data Exchange ◽  
Oil And Gas ◽  
Data Transfer ◽  
Open Data ◽  
Oil And Gas Industry ◽  
Lessons Learned ◽  
Next Generation ◽  
Data Standard

The Pipeline Open Data Standard (PODS) Association develops and advances global pipeline data standards and best practices supporting data management and reporting for the oil and gas industry. This presentation provides an overview of the PODS Association and a detailed overview of the transformed PODS Pipeline Data Model resulting from the PODS Next Generation initiative. The PODS Association’s Next Generation, or Next Gen, initiative is focused on a complete re-design and modernization of the PODS Pipeline Data Model. The re-design of the PODS Pipeline Data Model is driven by PODS Association Strategy objectives as defined in its 2016–2019 Strategic Plan and reflects nearly 20 years of PODS Pipeline Data Model implementation experience and lessons learned. The Next Gen Data Model is designed to be the system of record for pipeline centerlines and pressurized containment assets for the safe transport of product, allowing pipeline operators to: • Achieve greater agility to build and extend the data model, • respond to new business requirements, • interoperate through standard data models and consistent application interface, • share data within and between organizations using well defined data exchange specifications, • optimize performance for management of bulk loading, reroute, inspection data and history. The presentation will introduce the Next Gen Data Model design principles, conceptual, logical and physical structures with a focus on transformational changes from prior versions of the Model. Support for multiple platforms including but not limited to Esri ArcGIS, open source GIS and relational database management systems will be described. Alignment with Esri’s ArcGIS Platform and ArcGIS for Pipeline Referencing (APR) will be a main topic of discussion along with how PODS Next Gen can be leveraged to benefit pipeline integrity, risk assessment, reporting and data maintenance. The end goal of a PODS implementation is a realization of data management efficiency, data transfer and exchange, to make the operation of a pipeline safer and most cost effective.

Standards for Achieving Interoperability of eGovernment in Europe

2012 ◽  
pp. 249-268
Author(s):  
Marc Wilhelm Küster
Keyword(s):  
Web Service ◽  
Data Exchange ◽  
Open Data ◽  
Current Situation ◽  
Linked Open Data ◽  
Use Cases ◽  
Current Work ◽  
Member States ◽  
Metadata Standards ◽  
Service Standards

E-government interoperability frameworks in Europe and the standards they reference are diverse, often reflecting different legal and policy priorities across the continent. Selected examples from a number of member states illustrate how legal interoperability impacts the choice or creation of e-Government standards. It looks at the situation of technical interactions, especially the use of web service standards, then at two data exchange standards, two metadata standards, and the current work on linked open data. The examples discussed represent different use cases (Government to Government / G2G, Government to Business / G2B, Government to Citizen / G2C), allowing an overview over the current situation in Europe.

scholarly journals Designing an Android-Based Application for Geohazard Reduction Using Citizen-Based Crowdsourcing Data

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Chaoyang He ◽  
Nengpan Ju ◽  
Qiang Xu ◽  
Yanrong Li ◽  
Jianjun Zhao
Keyword(s):  
Communication Technology ◽  
Mobile Application ◽  
Data Exchange ◽  
Field Data ◽  
Design Method ◽  
Information Communication ◽  
Application Development ◽  
Database Server ◽  
System Solution ◽  
The Stability

Application development based on mobile platform is regarded as one of the major trends in information communication technology. However, only a few cases of mobile application are available for geohazard reduction using citizen-based crowdsourcing data. With the development of geohazard informatization and the rapid progress of mobile technology, the design and implementation of phone-based applications that could be used to monitor and prevent geohazards have been received increasing attention. Aiming at minimizing the threat of geohazards to people’s lives and assets, this paper presents an android-based application named Geohazards Group Measurement and Guards against System (GGMGAS). Local villagers use the GGMGAS to collect field data, including photos and videos, and transmit them to a database server. Therefore, the efficiency and stability of the data exchange between the mobile phone and the database server is very important. A design method and system solution of a data-exchange scheme was designed based on the WebService technology. Through trial operation, it has been found out that this data-exchange scheme could greatly improve the communication efficiency and the stability of collected field data. Practice has proved that this method based on citizens’ crowdsourcing data can effectively reduce the losses caused by geohazards.

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