Ganesh Ramanathan
Title
Dr.
Last Name
Ramanathan
First name
Ganesh
Email
ganesh.ramanathan@student.unisg.ch
14 results
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Item type:Publication, A Match Made in Semantics: Physics-infused Digital Twins for Smart Building AutomationBuildings contain electro-mechanical systems that ensure the occupants' comfort, health, and safety. The functioning of these systems is automated through control programs, which are often available as reusable artifacts in a software library. However, matching these reusable control programs to the installed technical systems requires manual effort and adds engineering cost. In this article, we show that such matching can be accomplished fully automatically through logical rules and based on the creation of semantic relationships between descriptions of physical processes and descriptions of technical systems and control programs. For this purpose, we propose a high-level bridging ontology that enables the desired rule-based matching and equips digital twins of the technical systems with the required knowledge about the underlying physical processes in a self-contained manner. We evaluated our approach in a real-life building automation project with a total of 34 deployed air handling units. Our data show that rules based on our bridging ontology enabled the system to infer the suitable choice of control programs automatically in more than 90% of the cases while avoiding almost an hour of manual work for each such match.Type:conference paperJournal:2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)Scopus© Citations 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Towards Hypermedia Environments for Adaptive Coordination in Industrial AutomationElectromechanical systems manage physical processes through a network of interconnected components. Today, programming the interactions required for coordinating these components is largely a manual process. This process is timeconsuming and requires manual adaptation when system features change. To overcome this issue, we use autonomous software agents that process semantic descriptions of the system to determine coordination requirements and constraints; on this basis, they then interact with one another to control the system in a decentralized and coordinated manner. Our core insight is that coordination requirements between individual components are, ultimately, largely due to underlying physical interdependencies between the components, which can be (and, in many cases, already are) semantically modeled in automation projects. Agents then use hypermedia to discover, at run time, the plans and protocols required for enacting the coordination. A key novelty of our approach is the use of hypermedia-driven interaction: it reduces coupling in the system and enables its run-time adaptation as features change.Type:conference paperJournal:2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)Scopus© Citations 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, HyperBrain: Human-inspired Hypermedia Guidance using a Large Language Model(ACM, 2023-09-05); ; ; ; We present HyperBrain, a hypermedia client that autonomously navigates hypermedia environments to achieve user goals specified in natural language. To achieve this, the client makes use of a large language model to decide which of the available hypermedia controls should be used within a given application context. In a demonstrative scenario, we show the client's ability to autonomously select and follow simple hyperlinks towards a high-level goal, successfully traversing the hypermedia structure of Wikipedia given only the markup of the respective resources. We show that hypermedia navigation based on language models is effective, and propose that this should be considered as a step to create hypermedia environments that are used by autonomous clients alongside people.Type:conference paperScopus© Citations 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Scopus© Citations 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, SOCRAR: Semantic OCR through Augmented Reality(ACM, 2022-11-11); ; ; ; To enable people to interact more efficiently with virtual and physical services in their surroundings, it would be beneficial if information could more fluently be passed across digital and non-digital spaces. To this end, we propose to combine semantic technologies with Optical Character Recognition on an Augmented Reality (AR) interface to enable the semantic integration of (written) information located in our everyday environments with Internet of Things devices. We hence present SOCRAR, a system that is able to detect written information from a user’s physical environment while contextualizing this data through a semantic backend. The SOCRAR system enables in-band semantic translation on an AR interface, permits semantic filtering and selection of appropriate device interfaces, and provides cognitive offloading by enabling users to store information for later use. We demonstrate the feasibility of SOCRAR through the implementation of three concrete scenarios.Type:conference paperJournal:Proceedings of the 12th International Conference on the Internet of ThingsScopus© Citations 13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Integrating Multi-Disciplinary Offline and Online Engineering in Industrial Cyber-Physical Systems through DevOpsIndustry 4.0 is transforming industrial automation systems into increasingly complex cyber-physical systems (CPS). In particular, there is a need to integrate systems across horizontal and vertical layers across industrial and disciplinary domains. The development of industrial CPS requires not only high-level configuration and control at the execution system level, but also offline and online engineering (OOE) work, including mechanical and electrical engineering of the devices, their installation, networking, and documentation. Using DevOps, a collection of modern software lifecycle management tactics, we propose to build an integrated platform to manage the OOE tasks. Continuous Integration/Continuous Delivery (CI/CD) pipelines and Infrastructure as Code, which are key aspects of DevOps, coordinate the building, testing, and deployment of software services. To bring the corresponding benefits of pure software systems to industrial CPS, we integrate engineering tasks using distributed version control and the W3C Web of Things. As a proof of concept, we implemented the concept for a mock system that includes the OOE tasks in a process automation scenario. The DevOps platform provides a structured transfer and exchange of engineering knowledge among stakeholders involved in industrial CPS.Type:conference paperScopus© Citations 13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Scopus© Citations 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Semantic Knowledge for Autonomous Smart Farming(2022-09-14); ; ; ; Burattini, SamueleType:book section - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Discovery and Enactment of Declarative Interaction Protocols in Dynamically Open Settings(International Foundation for Autonomous Agents and Multiagent Systems, 2026-05-24); ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Supernatural Superserious: Reactive Executable Markers(Association of Computing Machinery, 2025-10-12); ; Machine-readable markers, such as QR codes, are used in a wide range of applications. These markers usually feature a single static payload that directs users to further application-relevant information, e.g., on a website or in local data resources. Recent research has introduced advanced versions of such markers: reactive QR codes that carry multiple payloads that are revealed depending on the marker’s context and executable QR codes that carry executable code as payload. Building on these works, we introduce Reactive Executable Markers (REM). Based on exemplary application scenarios, we illustrate how REMs enable the offloading of the interpretation of environmental information to the REM designer without relying on network connectivity. Finally, we present a REM demonstrator and discuss the potential future evolution of REMs.Type:conference contribution