Interoperability Of Applications Research Articles

Beyond Sensory Boundaries: Innovative Applications of Synesthetic Design in Shaping Deep Brand Perceptions and Experiences

With the development of modern technology and concepts, the object of design expands from material form to non-material form, and the product modeling design gradually develops towards all-round perception and experience. Products are not only the carrier of function, but also the medium of emotional communication. In an era of information overload and short consumer attention spans, building deep and lasting brand perceptions has become a major challenge for marketers. The researcher explores the innovative application of synesthetic design principles, clarifies the role of synesthetic imagery interoperability and design expressions, constructs a design translation path of synesthetic imagery interoperability with the product as the medium and emotion as the dominant, and explores the process and verification method of the application of synesthetic imagery interoperability in the product styling design, so that synesthetic design can be used as a strategic tool that transcends the boundaries of the traditional sensory marketing, and thus cultivates deep brand experience and cognition. We use the generic design as a strategic tool to transcend the boundaries of traditional sensory marketing, thus cultivating profound brand experience and cognition. By integrating multi-sensory experiences and utilizing the inherent cross-modal correspondences between different sensory modalities, synesthetic design facilitates comprehensive and immersive brand interactions. Through a combination of theoretical exploration and empirical analysis, the researchers demonstrate how synesthetic design can significantly enhance brand memorability, differentiation and emotional resonance. It further explores how the experience of empathy influences consumer behavior and brand loyalty through underlying psychological mechanisms. The results emphasize the potential of synesthetic design in building deeper and more intuitive connections between consumers and brands. The application of synesthetic imagery interoperability to product styling design can elevate users' sensory experience to emotional experience through the use of synesthesia, which provides a new path for product styling design application research.

Active Learning Pipeline to Identify Candidate Terms for a CDSS Ontology.

Ontology is essential for achieving health information and information technology application interoperability in the biomedical fields and beyond. Traditionally, ontology construction is carried out manually by human domain experts (HDE). Here, we explore an active learning approach to automatically identify candidate terms from publications, with manual verification later as a part of a deep learning model training and learning process. We introduce the overall architecture of the active learning pipeline and present some preliminary results. This work is a critical and complementary component in addition to manually building the ontology, especially during the long-term maintenance stage.

Interoperability Structure of Smart Water Conservancy Based on Internet of Things

Massive smart water conservancy object (WCO) need to be connected for real-time monitoring and control, which produces massive data. Unfortunately, heterogeneous data structures and semantics lead to low interoperability between WCO and management systems. To address this challenge, we propose a novel interoperability structure for a smart water conservancy system based on the Internet of Things (IoT), and the key design includes a smart WCO terminal, interoperability network, special interoperability protocol, WCO information model, and cloud platform. Universal terminal and network are the base of interoperability hardware, and special interoperability protocol and information model for interconnection of WCO are designed for smart water conservancy management system. WCO can be connected to a water conservancy Big Data processing cloud platform for interoperability applications. The application results demonstrate that our proposed WCO’s interoperability structure has obvious advantages than the general IoT at WCO interoperability. The interoperability protocol is reliable, the information model can ease interoperability and security, and the semantic dictionary is very rich and covers all semantic services of WCO.

Enhancing service availability and resource deployment in IoT using a shared service replication method

In many real-world contexts, the Internet of Things (IoT) is valued for its capacity to facilitate the smooth operation of interoperable applications and services. It is critical to ensure the accessibility and replication of IoT resources to improve the agility of these applications. As a solution, the Network Function Virtualization (NFV) paradigm is embedded into the IoT design to leverage information from various endpoint applications better and maximize resource utilization. In this study, the Shared Replication Augmenting Method (SRAM) is proposed to increase resource usage in underutilized NFVs and maintain service availability simultaneously. The regressive decision-making learning used by SRAM enables the detection of NFV needs for data and application portability across various real-time use cases. This regression method can uncover data needs and their causes, allowing for prompt answers and more efficient use of available resources. The suggested SRAM technique dynamically modifies the procedure while considering computation-less function allocations, making it suitable for various interoperable applications. It distributes root-to-service virtualization and availability based on historical use and data replication. Therefore, SRAM improves resource usage by 7.09 % with no increase in latency or delays. It also increases service availability by 10.4 %, reduces latency by 11.89 %, eliminates backlogs by 11.1 %, and reduces data repetition by 8.97 %. This study enhances resource consumption and productivity in IoT settings by offering SRAM as a viable solution. The study's results prove its potential to reduce the occurrence of replication, delay, and queues while raising the availability of services.

Beyond compliance with the 21st Century Cures Act Rule: a patient controlled electronic health information export application programming interface.

The 21st Century Cures Act Final Rule requires that certified electronic health records (EHRs) be able to export a patient's full set of electronic health information (EHI). This requirement becomes more powerful if EHI exports use interoperable application programming interfaces (APIs). We sought to advance the ecosystem, instantiating policy desiderata in a working reference implementation based on a consensus design. We formulate a model for interoperable, patient-controlled, app-driven access to EHI exports in an open source reference implementation following the Argonaut FHIR Accelerator consensus implementation guide for EHI Export. The reference implementation, which asynchronously provides EHI across an API, has three central components: a web application for patients to request EHI exports, an EHI server to respond to requests, and an administrative export management web application to manage requests. It leverages mandated SMART on FHIR/Bulk FHIR APIs. A patient-controlled app enabling full EHI export from any EHR across an API could facilitate national-scale patient-directed information exchange. We hope releasing these tools sparks engagement from the health IT community to evolve the design, implement and test in real-world settings, and develop patient-facing apps. To advance regulatory innovation, we formulate a model that builds on existing requirements under the Cures Act Rule and takes a step toward an interoperable, scalable approach, simplifying patient access to their own health data; supporting the sharing of clinical data for both improved patient care and medical research; and encouraging the growth of an ecosystem of third-party applications.

Data Security in Healthcare Industrial Internet of Things With Blockchain

The Industrial Internet of Things has gained more attention because of the self-governing nature of system configuration with interoperable application connectivity. In the E-Healthcare environment, it cooperates with medical sensors to capture, examine, analyze, preserve, and document day-to-day transactions of patients in real-time. The integration of E-healthcare and IIoT provides an analytical platform to handle a large amount of data with a low cost of cloud-enabling scalable storage. Throughout the transformation, patients’ personal information is at risk while exchanging records over centralized server-based systems. Thus, the rate of node connectivity, failure of parallel data sharing, and deliverance-related issues increase. In this paper, we present solutions in three folds. First, the paper proposes a novel and secure architecture for E-healthcare data security using a blockchain-distributed ledger technology named BHIIoT. Second, the transformation in the lifecycle of medical wireless sensor networks for data management and optimization with a distributed layered hierarchy is developed, which enhances the network resources and increases trust in the blockchain-enabled peer-to-peer environment. Third, the proposed BHIIoT uses the NuCypher threshold re-encryption mechanism for data encryption and protects shared resources in the form of blocks preserved in a blockchain immutable storage. For instance, chain codes are deployed to automate authentication, logging, index information deliverance, and trace transactions to resist illegal activities in the E-Healthcare distributed-application. The customized lightweight blockchain multi-proof-of-work and multi-proof-of-stake are designed with a digital signature for improving the consumption of resources and reducing the load of storage while the transaction process of E-healthcare IIoT is scheduled.

Knowledge Base Reuse With Frame Representation In Artificial Intelligence Applications

The creation and upkeep of knowledge bases have emerged as the primary issue in artificial intelligence development. The knowledge domain is expanding, and application interoperability is urgently demanded. To accommodate this modification, the knowledge base, which serves as the foundation of the artificial intelligence architecture, must be updated. XML (extensible markup language), RDF (resources description framework), DAML (DARPA agent markup language), OIL (ontology inference layer), and OKBC are just a few of the standards that have been introduced as a result of the development of the internet (Open Knowledge-Base Connectivity). One type of knowledge representation that can store information and facts about a subject is frame-based representation. The OKBC, which can help with knowledge base interoperability, supports this approach. In this work, the main issues covered are the comprehension and fundamentals of knowledge base creation with frame representation. To better understand how frame representation functions as a reusable component, a case study from a news publication were used as an example.

Research Trends in E-Government Interoperability: Mapping Themes and Concepts Based on The Scopus Database

Advances in information and communication technology, in the provision of public services, have affected all aspects of electronic governance. This widespread use has resulted in vast amounts of data, which governments and other entities can collect and analyse to measure, assess and improve service interoperability. Interoperability is the ability of software to collaborate. Currently, studies on the interoperability of e-government applications are the focus of research by previous researchers to develop information and communication technology to realize the smooth exchange of information in all elements of government. This study aims to determine the development of research on interoperability in e-government by conducting an in-depth analysis of research trends and dominant themes in e-government interoperability. This research is a systematic review using VosViewer and Nvivo Qualitative Software Analysis, and both are used to uncover trending issues and research themes on e-government interoperability. This research data was obtained through the Scopus database using a search strategy to find relevant documents. The results show that research trends related to e-government interoperability issues have declined recently. In addition, this study also presents the highest citations, funding sponsors, and research connectivity between countries. Furthermore, this study also produces six dominant themes related to e-government interoperability, namely Interoperability, E-government, Systems, Technology, Data, and Services. Some of the findings produced in this study are expected to provide a comprehensive picture of research trends in e-government interoperability for researchers in the future.

An Approach for Securing JSON Objects through Chaotic Synchronization

Abstract Nowadays the interoperability of web applications is carried out by the use of data exchange formats such as XML and JavaScript Object Notation (JSON). Due to its simplicity, JSON objects are the most common way for sending information over the HTTP protocol. With the aim of adding a security mechanism to JSON objects, in this work we propose an encryption approach for cipher JSON objects through the use of chaotic synchronization. Synchronization ability between two chaotic systems offers the possibility of securing information between two points. Our approach includes mechanisms for diffusing and confusing JSON objects (plaintext), which yields a proper ciphertext. Our approach can be applied as an alternative to the existing securing JSON approaches such as JSON Web Encryption (JWE).

Case based approach to the application of standards and Interoperability in practice

Abstract Digital infrastructure and connectivity is layered and requires a number of defined viewpoints in order for safe data flow and use to occur. To address context specific challenges to support communication in health and social care, health informatics standards supporting interoperability are key. In this skills building seminar we will introduce participants to a standards based roadmap for interoperability. We will provide examples of projects and resources detailing the process of engagement to optimise system design for sustainability through a use case based approach.

Optimization enabled deep learning method in container-based architecture of hybrid cloud for portability and interoperability-based application migration

ABSTRACT Virtualisation is a major part of the cloud as it permits the deployment of several virtual servers over the same physical layer. Due to the adaption of cloud services, the count of the application running on repositories increases, resulting in overload. However, the application migration in the cloud with optimal resource allocation is still a challenging task. The application migration is employed to reduce the dilemma of resource allocation. Hence, this paper proposes a technique for portability and interoperability-based application migration in the cloud platform. The cloud simulation is done with the Physical Machine (PM), Virtual Machine (VM), and container. The interoperable application migration is provided using the newly devised Lion-based shuffled shepherd (Lion-SS) optimisation algorithm. The Lion-SS algorithm combines the shuffled shepherd optimisation algorithm (SSOA) and the Lion optimisation algorithm (LOA). The new objective function is devised based on predicted load, demand, transmission cost, and resource capacity. Besides, the prediction of the load is performed using Deep long short-term memory (Deep LSTM). The proposed technique obtained the minimal load of 0.007 and resource capacity of 0.342.

Augmentation of contextual knowledge based on domain dominant words for IoT applications interoperability

Semantic web technology is adapted to the internet of things (IoT) for web - based applications to globally connect the services. Web ontology language (OWL) domain ontology is a powerful machine - readable language for domain knowledge representation. The developer stored the IoT application relevant ontology in a repository or catalogue. Hence, IoT application - related ontology files are available for reus e, but many of the IoT application - relevant ontology files are publicly not available or inaccessible. The proposed idea is to extract the contextual knowledge of IoT applications that contain inaccessible ontology files. The context - wise specific domain I oT applications are not obtainable, hence respective ontology - based research papers are identified and their frequent terms are computed. The selected contextual dominant frequent terms from the transport domain are passed into the skip - gram flavour of wor d2vector modelled n atural language processing ( NLP ) corpus which produces most similar terms. The domain experts select the appropriate terms to annotate in OWL ontology for contextual knowledge augmentation. Finally, 1422 contextual terms were generated b ased on dominant terms of selected IoT applications.

A Secure Interoperable API Wrapper Tunnel for Integration of GIS-Based ICS-IIoT and Digital Twins in Industry 4.0 Clouds

Industry 4.0 is the most disruptive revolution engulfing all the digital transformation from sensors nodes to cloud applications. A sustainable and secure Industry 4.0 ecosystem is a core challenge for stakeholders and state agencies addressed in this work by layered API tunnel interoperability instead of conventional cybersecurity methods and techniques. In this work, an interoperable application programmer interface (API) wrapper is being proposed to manage heterogeneous cloud architectures using Eucalyptus, Apache CloudStack, and OpenNebula. A comprehensive design and implementation plan from things layer to user interface has been accomplished in this work. Infrastructure as a Service (IaaS) is being automated using Ansible from Web Servers Layers through Common Gateway Interface (CGI) scripting. The Web Servers are being managed using WebSockets by micro–Web Servers Gateway Interface (uWSGI) from cloudstack managers (CSM) API. The Platform as a Service (PaaS) for big data, web servers, and machine learning platforms is accomplished using uWSGI from CSM. The public and private clouds are being managed using individual APIs. The wrapper, proposed in this work enables the big challenge of Industry 4.0 for realizing interoperability, scalability, heterogeneity, and automated cloud integration by functioning at the Software as a Service (SaaS) Layer.

SCALABLE AR FOR BIM ON TELECOMMUNICATION NETWORK SITES

Abstract. A growing number of research works, experiments and applications is investigating the potential at the intersection of augmented reality (AR) and the architecture, engineering, and construction (AEC) industry. Project management, project communication, collaborative design, maintenance and construction progress documentation, construction site safety, and training are some of the cases that can benefit from blending real and virtual views through mobile devices. In recent years, research also highlighted how mixed reality and building information modeling (BIM) could cooperate to provide effective communication between multiple agents and closer interaction between digital information and the building site. Nevertheless, consolidated applications in these fields are still limited, especially when compared to other areas of AR adoption. This paper presents the development of an AR-based mobile app for exploring telecommunications tower sites and interacting with a related BIM database. The project aims to provide easy-to-use tools to maintain both the physical assets and an up-to-date model. We discuss critical issues in developing a scalable and interoperable application, supporting the feasibility study of similar solutions in the AEC sector.

MHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review.

The use of mHealth apps for the self-management of cardiovascular diseases (CVDs) is an increasing trend in patient-centered care. In this research, we conduct a scoping review of mHealth apps for CVD self-management within the period 2014 to 2021. Our review revolves around six main aspects of the current status of mHealth apps for CVD self-management: main CVDs managed, main app functionalities, disease stages managed, common approaches used for data extraction, analysis, management, common wearables used for CVD detection, monitoring and/or identification, and major challenges to overcome and future work remarks. Our review is based on Arksey and O’Malley’s methodological framework for conducting studies. Similarly, we adopted the PRISMA model for reporting systematic reviews and meta-analyses. Of the 442 works initially retrieved, the review comprised 38 primary studies. According to our results, the most common CVDs include arrhythmia (34%), heart failure (32%), and coronary heart disease (18%). Additionally, we found that the majority mHealth apps for CVD self-management can provide medical recommendations, medical appointments, reminders, and notifications for CVD monitoring. Main challenges in the use of mHealth apps for CVD self-management include overcoming patient reluctance to use the technology and achieving the interoperability of mHealth applications with other systems.

Toward Data Interoperability of Enterprise and Control Applications via the Industry 4.0 Asset Administration Shell

In a cyber-physical system, enterprise applications, control functions, and physical manufacturing assets are interconnected to seamlessly exchange information. However, the software and hardware often differ in terms of their data interfaces, data formats and semantics. Conventional enterprise applications usually employ file-based interfaces (e.g., Excel); control applications always support Ethernet-based protocols (e.g., OPC UA). Thus, data interoperability is currently lacking. The asset administration shell (AAS) is a new approach for achieving data interoperability across the automation pyramid as the AASX data format represents AAS information and supports data communication via OPC UA. In this study, we first provide insights into the AASX format and give exemplary applications on AASX; we then present an AASX-based solution for bidirectional data exchange between enterprise and control applications. In this solution, the conversion between AASX and Excel spreadsheets is completed to enable interoperable data exchange. Finally, a data exchange scenario for motor control is constructed to validate the effectiveness of the solution. The result shows no data were lost during the two-way conversions.

Toward a holistic definition for Information Systems for Health in the age of digital interdependence.

ABSTRACTThe article’s main objective is to propose a new definition for Information Systems for Health, which is characterized by the identification and involvement of all the parts of a complex and interconnected process for data collection and decision-making in public health in the information society. The development of the concept was through a seven-step process including document analysis, on-site and virtual sessions for experts, and an online survey of broader health professionals. This new definition seeks to provide a holistic view, process, and approach for managing interoperable applications and databases that ethically considers open and free access to structured and unstructured data from different sectors, strategic information, and information and communication technology (ICT) tools for decision-making for the benefit of public health. It also supports the monitoring of the Sustainable Development Goals and the implementation of universal access to health and universal health coverage as well as Health in All Policies as an approach to promote health-related policies across sectors. Information Systems for Health evolves from preconceptions of health information systems to an integrated and multistakeholder effort that ensures better care and better policy-making and decision-making.

Hybrid Encryption for Messages’ Confidentiality in SOSE-Based IOT Service Systems

Internet of Things (IOT) is an essential paradigm where devices are interconnected into network. The operations of these devices can be through service-oriented software engineering (SOSE) principles for efficient service provision. SOSE is an important software development method for flexible, agile, loose-coupled, heterogeneous and interoperable applications. Despite all these benefits, its adoption for IOT services is slow due to security challenges. The security challenge of integration of IOT with service-oriented architecture (SOA) is man-in-the-middle attack on the messages exchanged. The transport layer security (TLS) creates a secured socket channel between the client and server. This is efficient in securing messages exchanged at the transport layer only. SOSE-based IOT systems needs an end-to-end security to handle its vulnerabilities. This integration enables interoperability of heterogeneous devices, but renders the system vulnerable to passive attacks. The confidentiality problem is hereby addressed by message level hybrid encryption. This is by encrypting the messages by AES for efficiency. However, to enable end-to-end security, the key sharing problem of advanced encryption standard (AES) is handled by RSA public key encryption. The results shows that this solution addressed data contents security and credentials security privacy issues. Furthermore, the solution enables end-to- end security of interaction in SOSE-based IOT systems.

HealthCare EHR

Blockchain technology is currently playing a significant role in providing a secure and effective means to share information in a variety of domains, including the financial sector, supply chain management (SCM) in various domains, IoT, and the field of health care systems (HCS). The HCS application's interoperability and security allow patients and vendors to communicate information seamlessly. The absence of such traits reveals the patient's difficulties in gaining access to his or her own health status. As a result, incorporating blockchain technology will eliminate this disadvantage, allowing the HCS to become more effective and efficient. These potential benefits provide a foundation for blockchain technology to be used in various aspects of HCS, such as maintain the patient electronic health record (EHR) and electronic medical records (EMR) for various medical devices, billing, and telemedicine systems, and so on.

Patients' Experience of New Technologies and Digitalization in Diabetes Care in Germany.

Little is little known about how people with diabetes experience advancing digitization and new technologies in diabetes. What are the attitudes of people with diabetes (or, in the case of children with diabetes, their parents) toward digitization and advancing technology in diabetology? What significant advantages and disadvantages do they see, and how do they assess current developments of digitization in diabetology (eg, hybrid closed-loop systems, do-It-Yourself (DIY) closed-loop systems, data protection, and data donation)? 3,427 people with diabetes (47.7% female, 65.6% type 1 diabetes (T1D), 25.5% type 2 diabetes (T2D), 8.1% parents of children with diabetes; 0.8% other type of diabetes, age 49.2 ± 19.3 years) were interviewed with an online survey. Overall, survey participants had a very positive attitude toward digitization (82.6%) and considered the potential for optimizing diabetology through digitization to be very high (78.8%). The highest rated advantages of digitization were "greater personal responsibility and self-determination in therapy" (80.0%), "better quality of treatment" (80.0%), and "better communication with the doctor/diabetes team" (77.3%), while the highest rated disadvantages were the "error-proneness of digital applications" (35.9%), the "risk of misuse of patient data" (32.3%) and the "fear that digitization will replace the doctor in many cases" (31.1%). The possibility of evaluating and analyzing glucose data by means of software, and AID systems, and the possibility of improving the interoperability of the various applications are currently rated as the most significant topics. The vast majority of people with diabetes are very positive about new technologies in diabetology and expect that it will improve and simplify their diabetes therapy and reduce the burdens associated with diabetes. In particular, people with type 1 diabetes have high expectations for AID systems, viewing them as a kind of "technical cure" for their diabetes.