Interoperable Platform Research Articles

Cross border semantic interoperability for learning health systems: The EHR4CR semantic resources and services.

With the development of platforms enabling the integration and use of phenome, genome, and exposome data in the context of international research, data management challenges are increasing, and scalable solutions for cross border and cross domain semantic interoperability need to be developed. Reusing routinely collected clinical data, especially, requires computable portable phenotype algorithms running across different electronic health record (EHR) products and healthcare systems. We propose a framework for describing and comparing mediation platforms enabling cross border phenotype identification within federated EHRs. This framework was used to describe the experience gained during the EHR4CR project and the evaluation of the platform developed for accessing semantically equivalent data elements across 11 European participating EHR systems from 5 countries. Developers of semantic interoperability platforms are beginning to address a core set of requirements in order to reach the goal of developing cross border semantic integration of data.

SCADA as a service approach for interoperability of micro-grid platforms

Abstract In the context of smart grid development, this paper considers the problem of interoperability of micro-grid platforms, particularly among research institutions. Various levels of interoperability are introduced with the respective requirements. The primary aim of the paper is to propose a suitable private hybrid cloud based SCADA architecture satisfying various necessities in the framework of interoperability of micro-grid platforms while maintaining security restriction conditions. Due to the limited time restriction of critical SCADA functions in the electrical grid (protection, real time control, etc.), only selected non-critical SCADA functions (back-up, data historian, etc.) are accessible to partners from the private cloud. The critical SCADA tasks functionality remains under control of local server, thus, a hybrid cloud architecture. Common Information Model (IEC 61970 and IEC 61968, CIM/XML/RDF) is proposed to be used as model for information exchange. The communication model is based on PaaS delivery model and OPC Unified Architecture (OPC UA) specifications are considered. OPC gateway is proposed as conversion between the old OPC Distributed Common Object Model (DCOM) protocol and the Simple Object Access Protocol (SOAP) for cloud.

VOLUNTARY NOISE MAPPING FOR SMART CITY

One of the main concept objectives of smart cities is to create a quality living environment that is long-term sustainable and economically justified. In that context, modern cities are aware of the exposure to various forms of physical and non-physical pollution that needs to be remediated, eliminated or reduced. To achieve that it is necessary to quality determine the sources and reasons of each pollution. The most prominent examples of physical pollution that affects the quality of life of citizens in cities are light and noise pollution. Noise pollution or noise, is mostly the consequence of road and rail traffic in cities and it directly affects the health of citizens. Traffic control, reduction of peak congestion, dispersion and traffic redirection or building protective barriers, are ways that cities use to reduce the amount of noise or its effects. To make these measures efficient it is necessary to obtain the information related to the level of noise in certain areas, streets, cities. To achieve this, smart cities use noise mapping. <br><br> The city of Zagreb since 2012, participates in the i-SCOPE project (interoperable Smart City services trough Open Platform for urban Ecosystems). i-SCOPE delivers an open platform on top of which it develops, three "smart city" services: optimization of energy consumption through a service for accurate assessment of solar energy potential and energy loss at building level, environmental monitoring through a real-time environmental noise mapping service leveraging citizen's involvement will who act as distributed sensors city-wide measuring noise levels through an application on their mobile phones and improved inclusion and personal mobility of aging and diversely able citizens through an accurate personal routing service. The students of Faculty of Geodesy University of Zagreb, who enrolled in the course Thematic Cartography, were actively involved in the voluntary data acquisition in order to monitor the noise in real time. In this paper are presented the voluntary acquisitioned data of noise level measurement in Zagreb through a mobile application named Noise Tube, which were used as the basis for creating the dynamic noise map. <br><br> The paper describes how citizens through voluntarily collected geoinformation can directly influence decision-making in their community, which certainly affects the quality of life.

An E-government Interoperability Platform Supporting Personal Data Protection Regulations

Public agencies are increasingly required to collaborate with each other in order to provide high-quality e-government services. This collaboration is usually based on the service-oriented approach and supported by interoperability platforms. Such platforms are specialized middleware-based infrastructures enabling the provision, discovery and invocation of interoperable software services. In turn, given that personal data handled by governments are often very sensitive, most governments have developed some sort of legislation focusing on data protection. This paper proposes solutions for monitoring and enforcing data protection laws within an E-government Interoperability Platform. In particular, the proposal addresses requirements posed by the Uruguayan Data Protection Law and the Uruguayan E-government Platform, although it can also be applied in similar scenarios. The solutions are based on well-known integration mechanisms (e.g. Enterprise Service Bus) as well as recognized security standards (e.g. eXtensible Access Control Markup Language) and were completely prototyped leveraging the SwitchYard ESB product.

GenomeSpace: open source interoperability platform with crowd-sourced analysis recipes

GenomeSpace: open source interoperability platform with crowd-sourced analysis recipes

Promoting platform interoperability with portable bcbio workflows

Promoting platform interoperability with portable bcbio workflows

A Proof-of-Concept for Semantically Interoperable Federation of IoT Experimentation Facilities.

The Internet-of-Things (IoT) is unanimously identified as one of the main pillars of future smart scenarios. The potential of IoT technologies and deployments has been already demonstrated in a number of different application areas, including transport, energy, safety and healthcare. However, despite the growing number of IoT deployments, the majority of IoT applications tend to be self-contained, thereby forming application silos. A lightweight data centric integration and combination of these silos presents several challenges that still need to be addressed. Indeed, the ability to combine and synthesize data streams and services from diverse IoT platforms and testbeds, holds the promise to increase the potentiality of smart applications in terms of size, scope and targeted business context. In this article, a proof-of-concept implementation that federates two different IoT experimentation facilities by means of semantic-based technologies will be described. The specification and design of the implemented system and information models will be described together with the practical details of the developments carried out and its integration with the existing IoT platforms supporting the aforementioned testbeds. Overall, the system described in this paper demonstrates that it is possible to open new horizons in the development of IoT applications and experiments at a global scale, that transcend the (silo) boundaries of individual deployments, based on the semantic interconnection and interoperability of diverse IoT platforms and testbeds.

Experiences of a “semantics smackdown”

Within the field of ocean science there is a long history of using controlled vocabularies and other Semantic Web techniques to provide a common and easily exchanged description of datasets. As an activity within the European Union, United States, Australian-funded project “Ocean Data Interoperability Platform”, a workshop took place in June 2014 at Rensselaer Polytechnic Institute to further the use of these Semantic Web techniques with the aim of producing a set Linked Data publication patterns which describe many parts of a marine science dataset. During the workshop, a Semantic Web development methodology was followed which promoted the use of a team with mixed skills (computer, data and marine science experts) to rapidly prototype a model ontology which could be iterated in the future. In this paper we outline the methodology employed in the workshop, and examine both the technical and sociological outcomes of a workshop of this kind.

Current Telerehabilitation Research With Older Adults at Home: An Integrative Review.

Increased demand for in-home rehabilitation services for older adults may be met through telerehabilitation information and communication technologies. The current article reports the results of an integrative literature review summarizing current in-home telerehabilitation research with older adults. Nine studies from 2006-2015 are included. Six studies employed a remote therapist using real-time video. Three studies used text- or web-based messaging and electronic surveys. Six studies relied on dial-up Internet service and the remaining three studies used broad-band Internet connections. Future research should address (a) in-home and wearable sensing technologies to monitor health and (b) mobile devices, such as tablet computers, to collect patient self-reports. Interoperable platforms are needed to integrate disparate devices and support continuity of care across post-acute care settings. [Journal of Gerontological Nursing, 42(10), 15-20.].

A Study on the WIPI-to-Tizen Converter for Smart Game Contents Compatibility

The WIPI (Wireless Internet Platform for Interoperability) is legislated by KWISF (Korea Wireless Internet Standardization Forum) and a standardized standard chosen by KTTA (Korea Telecommunications Technology Association) as an application program execution environment for mobile communication platforms. Tizen platform developed by Samsung is an open source smart phone platform, which is created for wide range of device. which is created for wide range of device. Due to the use of different smart phone platforms, mobile contents developers must create content designed specifically for each platform or use a conversion process to provide game content to consumers. In this paper, to resolve this problem, the WIPI-to-Tizen smart game converter was designed to automatically translate game contents from the WIPI platform to the Tizen platform for smart phones. Through the WIPI-to-Tizen converter, resources such as images and sounds can be converted, APIs can be converted using a platform mapping engine. These and all other content conversion functions were examined. Test results indicate that the graphics, image, sound, and other functions of converted Tizen games were equivalent to those of the WIPI games before conversion.

Concept of Swarm Specialized Distributed Localization System

The article describes the concept and design of indoor distributed localization system. Presented solution was designed primarily for swarm system and was aimed to cooperate with other environment recognition system used for mobile robots. Usage of network connected set of processes, running across simple Linux based computerized platform, provides high redundancy and platform interoperability.

An Interoperability Platform Enabling Reuse of Electronic Health Records for Signal Verification Studies.

Depending mostly on voluntarily sent spontaneous reports, pharmacovigilance studies are hampered by low quantity and quality of patient data. Our objective is to improve postmarket safety studies by enabling safety analysts to seamlessly access a wide range of EHR sources for collecting deidentified medical data sets of selected patient populations and tracing the reported incidents back to original EHRs. We have developed an ontological framework where EHR sources and target clinical research systems can continue using their own local data models, interfaces, and terminology systems, while structural interoperability and Semantic Interoperability are handled through rule-based reasoning on formal representations of different models and terminology systems maintained in the SALUS Semantic Resource Set. SALUS Common Information Model at the core of this set acts as the common mediator. We demonstrate the capabilities of our framework through one of the SALUS safety analysis tools, namely, the Case Series Characterization Tool, which have been deployed on top of regional EHR Data Warehouse of the Lombardy Region containing about 1 billion records from 16 million patients and validated by several pharmacovigilance researchers with real-life cases. The results confirm significant improvements in signal detection and evaluation compared to traditional methods with the missing background information.

Communication Protocol and Queuing Theory-based Modelling for the Internet of Things

Internet of things (IoT) is communication network in which the devices are connected to each other via internet. World is moving towards the atomization of various domains of engineering. The growing applications of IoT imposes challenge on the user to manage all such application. This paper proposes Internet mail Access protocol (IMAP) for IoT enabled email system. It helps to reduce the application Management overhead from the user side. It provides common platform for managing applications to the user. At the same time this protocol should not compromise with security. The advantage of IMAP is that user can access mail system ubiquitously. This paper proposes architecture in which middleware is introduced for the interoperability platform. Also it proposes mathematical model with the help of M/M/N queuing model. This paper supports proposed mathematical model with the help of proof of concept.

E-Maritime for Automating Legacy Shipping Practices

The European Commission has been actively promoting the competitiveness of the European maritime transport sector and a more efficient use of resources through the better use of Information and Communicating Technologies (ICT), with a core vision to enable seamless communication in the sector. This paper describes how the FP7 eMAR project successfully developed, tested and assessed tools to further streamline maritime operations. These tools included an an eMAR Ecosystem, the Inlecom i-Ship Intelligent Ship Reporting Gateway, and two specific interoperable platforms: the DANAOS Collaboration Platform and the InleMar Ecosystem. These applications will help transmit information to all relevant stakeholders (authorities, agents, ship masters, of/onshore shipping company facilities) in an automated and smart manner. The transmitted information, which includes legally required information such as the IMO FAL Forms, as well as business related information, such as Estimated Time of Arrival or Port of next call or availability, will significantly improve not only the shipping related operations but also the entire upstream and downstream supply chain operations.

RETRACTED ARTICLE: A New Trust Evaluation Algorithm Between Cloud Entities Based on Fuzzy Mathematics

High security of cloud computing is one of the most challenges to be addressed before the novel pas-as-you-go business paradigm is widely applied over the internet. Trust brings a novel means to improve the security and enable interoperability of current heterogeneous independent cloud platforms. However, there is no special trust evaluation model for cloud computing environment. Hence, this paper presents a new trust model based on fuzzy mathematics in cloud computing environment according to success and failure interaction between cloud entities based on the properties and semantics of trust. To compute trust in cloud systems, an algorithm based on proposed model is given. Simulation results show that the proposed model has some identification and containment capability in synergies cheating, promotes interaction between entities, and improves the performance of the entire cloud environment.

SOSLite: Lightweight Sensor Observation Service (SOS)

Internet of Things (IoT) platforms interoperability is a major issue in current IoT scenarios. There are different mechanisms to achieve interoperability and Open Geospatial Consortium (OGC) with Sensor Web Enablement (SWE) block of standards like Sensor Observation Service (SOS) has provided the ability to interoperate at different layers, following a centralized approach. However, IoT nature is distributed and a new approach is needed. At the same time, current SOS implementations provide several services and components that are rarely used and affect performance, and are mainly focused for large sensor deployments. In this paper we propose a lightweight SOS design, named SOSLite, based in the OGC consolidated SWE standards able to be executed in low resources devices (e.g. RaspberryPi) and allow fast interoperability and scalability. The proposed use case in which the proposed system has been tested is m-health and concretely ambient assisted living.

A case study in open source innovation: developing the Tidepool Platform for interoperability in type 1 diabetes management.

Objective Develop a device-agnostic cloud platform to host diabetes device data and catalyze an ecosystem of software innovation for type 1 diabetes (T1D) management.Materials and Methods An interdisciplinary team decided to establish a nonprofit company, Tidepool, and build open-source software.Results Through a user-centered design process, the authors created a software platform, the Tidepool Platform, to upload and host T1D device data in an integrated, device-agnostic fashion, as well as an application (“app”), Blip, to visualize the data. Tidepool’s software utilizes the principles of modular components, modern web design including REST APIs and JavaScript, cloud computing, agile development methodology, and robust privacy and security.Discussion By consolidating the currently scattered and siloed T1D device data ecosystem into one open platform, Tidepool can improve access to the data and enable new possibilities and efficiencies in T1D clinical care and research. The Tidepool Platform decouples diabetes apps from diabetes devices, allowing software developers to build innovative apps without requiring them to design a unique back-end (e.g., database and security) or unique ways of ingesting device data. It allows people with T1D to choose to use any preferred app regardless of which device(s) they use.Conclusion The authors believe that the Tidepool Platform can solve two current problems in the T1D device landscape: 1) limited access to T1D device data and 2) poor interoperability of data from different devices. If proven effective, Tidepool’s open source, cloud model for health data interoperability is applicable to other healthcare use cases.

On a New Bearing: The reorganized Royal Australian Navy at war in Vietnam

The Royal Australian Navy (RAN) made a modest but important commitment of a single destroyer to the Vietnam War on a rotational basis between March 1967 and September 1971. The contrast between the deployments of the American-designed and built Charles F. Adams class guided missile destroyers and the British-designed Daring class destroyer, HMAS Vendetta, represented the fruition of a small navy being pulled in two different directions. The RAN was undergoing a transitional period, which saw the service increasingly align with the United States Navy. This was a monumental shift in policy, as the Royal Navy had provided a model for the RAN to emulate since its creation in 1911. The Vietnam War offered a clear test of standardization and demonstrated that common ship designs provided a platform for interoperability, but did not guarantee it. The Australian ships were able to make a worthwhile contribution to a predominantly American naval effort, but they faced a number of challenges in achieving interoperability. The basis for successful co-operation was provided by the existence of common procedures and standardized equipment, but was necessarily supplemented by ad hoc measures and impromptu workarounds.

Trust Model To Enhance Security Of Cloud Computing

Trust is one of the most important means to improve security and enable interoperability of current heterogeneous independent cloud platforms. Trust is a level of subjective probability between two entities, a trustor and a trustee, which is formed through the direct observation nature and/or recommendation from trusted entities. Today, there is no special trust evaluation model for cloud computing environment. Hence, in this paper, we present a trust model based on fuzzy mathematics in cloud computing environment according to success and failure interaction between cloud entities.

Business Model for Mobile Payment in China

Despite the predicted success of mobile payment, the market remains immature in most countries. Major concerns are the relationship between push and pull technologies, and the role of platforms, service innovation, power and control in ecosystems. As the first step in their mixed-method research approach, using Analytic Hierarchy Process (AHP) as a research approach and the STOF business model as a research framework, the authors aim to identify design issues for m-payment services from mobile network operators' perspectives. Furthermore, the authors compare insights from semi-structured interviews with experts in the field to the empirical findings, to assess how the actual business model of Chinese m-payment services can be improved based on design issues derived from the business model. The results show that components such as building customer trust on payment services, innovative payment experience, and extend market to new segments, guarantee security and privacy issues, user profile management, and hardware problems involving existing infrastructure, customer/merchant relationship, platform interoperability, and cost saving on fraud detection need to be improved to enhance the potential of m-payment, supported by a viable and sustainable business model. There is also a role for policy and regulation to be played.