| 1. |
- Berezovskyi, Andrii, 1991-, et al.
(författare)
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Efficient state update exchange in a CPS environment for linked data-based digital twins
- 2019
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Ingår i: IEEE International Conference on Industrial Informatics (INDIN). - : Institute of Electrical and Electronics Engineers Inc.. - 9781728129273 ; , s. 983-989
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Konferensbidrag (refereegranskat)abstract
- This paper addresses the problem of reducing the number of messages needed to exchange state updates between the Cyber-Physical System (CPS) components that integrate with the rest of the CPS through Digital Twins in order to maintain uniform communication interface and carry out their tasks correctly and safely. The main contribution is a proposed architecture and the discussion of its suitability to support correct execution of complex tasks across the CPS. A new State Event Filtering component is presented to provide event-based communication among Digital Twins that are based on the Linked Data principles while keeping the fan-out limited to ensure the scalability of the architecture.
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| 2. |
- Berezovskyi, Andrii, 1991-, et al.
(författare)
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Linked Data Architecture for Plan Execution in Distributed CPS
- 2019
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Ingår i: 2019 IEEE International Conference on Industrial Technology (IEEE ICIT). - : Institute of Electrical and Electronics Engineers (IEEE). - 9781538663769 ; , s. 1393-1399
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Konferensbidrag (refereegranskat)abstract
- Future cyber-physical systems (CPS) require their components to perform autonomously. To do that safely and efficiently, CPS components will need access to the global state of the whole CPS. These components will require near real-time updates to a subset of the global state to react to changes in the environment. A particular challenge is to monitor state updates from the distributed CPS components: one needs to ensure that only states consistent with the PDDL plan execution semantics can be observed within the system. In order to guarantee that, a component to monitor plan execution is proposed. Microservices based on Linked Data technologies are used to provide a uniform way to access component states, represented as Resource Description Framework (RDF) resources. To ensure the correct ordering of state updates, we present an extension of the OASIS OSLC TRS protocol. Specifically, we strengthen the ordering guarantees of state change events and introduce inlining of the state with the events to prevent state mismatch at the dereferencing stage.
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| 3. |
- Feljan, A. V., et al.
(författare)
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Tackling IoT complexity
- 2017
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Ingår i: Ericsson Technology Review. - : Telefonaktiebolaget L.M. Ericsson. - 0014-0171. ; 95:2, s. 60-69
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Tidskriftsartikel (refereegranskat)abstract
- Internet of Things (IoT) applications transcend traditional telecom to include enterprise verticals such as transportation, healthcare, agriculture, energy and utilities. Given the vast number of devices and heterogeneity of the applications, both ICT infrastructure and IoT application providers face unprecedented complexity challenges in terms of volume, privacy, interoperability and intelligence. Cognitive automation will be crucial to overcoming the intelligence challenge.
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| 4. |
- Gürdür, Didem, 1983-, et al.
(författare)
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Knowledge Representation of Cyber-physical Systems for Monitoring Purpose
- 2018
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Ingår i: 51st CIRP Conference on Manufacturing Systems. - : Elsevier. ; , s. 468-473
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Konferensbidrag (refereegranskat)abstract
- Automated warehouses, as a form of cyber-physical systems (CPSs), require several components to work collaboratively to address the common business objectives of complex logistics systems. During the collaborative operations, a number of key performance indicators (KPI) can be monitored to understand the proficiency of the warehouse and control the operations and decisions. It is possible to drive and monitor these KPIs by looking at both the state of the warehouse components and the operations carried out by them. Therefore, it is necessary to represent this knowledge in an explicit and formally-specified data model and provide automated methods to derive the KPIs from the representation. In this paper, we implement a minimalistic data model for a subset of warehouse resources using linked data in order to monitor a few KPIs, namely sustainability, safety and performance. The applicability of the approach and the data model is illustrated through a use case. We demonstrate that it is possible to develop minimalistic data models through Open Services for Lifecycle Collaboration (OSLC) resource shapes which enables compatibility with the declarative and procedural knowledge of automated warehouse agents specified in Planning Domain Definition Language (PDDL).
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| 5. |
- Inam, Rafia, et al.
(författare)
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Feasibility Assessment to Realise Vehicle Teleoperation using Cellular Networks
- 2016
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Ingår i: Proceedings of the 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). - IEEE.
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Konferensbidrag (refereegranskat)abstract
- Future cellular networks (5G) will be used for a diversity of use cases. Transportation is one domain where cellular networks can play a significant role not only in connecting autonomous vehicles to other vehicles, infrastructures, and people, but also in realizing vehicle teleoperation i.e., vehicle driven by an operator from a distance. In this paper, we assess the feasibility of using a cellular network to realise vehicle teleoperation. We identify the network requirements for a teleoperated vehicle use case in an urban environment using a test setup of an LTE network and simulations. Testbed measurements reveal that teleoperation use cases can be supported even with less than excellent signal strength. Through simulation we show that the testbed can scale to cover greater distances and support teleoperation
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| 6. |
- Inam, Rafia, et al.
(författare)
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Risk Assessment for Human-Robot Collaboration in an automated warehouse scenario
- 2018
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Ingår i: 2018 IEEE 23RD INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA). - : Institute of Electrical and Electronics Engineers (IEEE). - 9781538671085 ; , s. 743-751
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Konferensbidrag (refereegranskat)abstract
- Collaborative robotics is recently taking an ever-increasing role in modern industrial environments like manufacturing, warehouses, mining, agriculture and others. This trend introduces a number of advantages, such as increased productivity and efficiency, but also new issues, such as new risks and hazards due to the elimination of barriers between humans and robots. In this paper we present risk assessment for an automated warehouse use case in which mobile robots and humans collaborate in a shared workspace to deliver products from the shelves to the conveyor belts. We provide definitions of specific human roles and perform risk assessment of human-robot collaboration in these scenarios and identify a list of hazards using Hazard Operability (HAZOP). Further, we present safety recommendations that will be used in risk reduction phase. We develop a simulated warehouse environment using V-REP simulator. The robots use cameras for perception and dynamically generate scene graphs for semantic representations of their surroundings. We present our initial results on the generated scene graphs. This representation will be employed in the risk assessment process to enable the use of contextual information of the robot's perceived environment, which will be further used during risk evaluation and mitigation phases and then on robots' actuation when needed.
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| 7. |
- Inam, Rafia, et al.
(författare)
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Towards Automated Service-Oriented Lifecycle Management for 5G Networks
- 2015
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Ingår i: Proceedings of the 2015 IEEE Conference on Emerging Technologies & Factory Automation (ETFA).
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Konferensbidrag (refereegranskat)abstract
- 5G networks will be a key enabler for the Internet of Things by providing a platform to connect a massive number of devices with heterogeneous sets of network quality requirements. In this environment, 5G network operators will have to solve the complex challenge of managing network services for diverse customer sectors (such as automotive, health or energy) with different requirements throughout their lifecycle.In this paper, we present current state of our work on automating part of the network service lifecycle management using knowledge management- and decision support techniques. We also present our ongoing implementation steps for such management function in 5G networks.
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| 8. |
- Karapantelakis, Athanasios, 1982-, et al.
(författare)
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DevOps for IoT Applications using Cellular Networks and Cloud
- 2016
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Konferensbidrag (refereegranskat)abstract
- The Internet of Things (IoT) is a vision of a future society where an ever-increasing number of heterogeneous physical devices (“things”) obtain Internet connectivity, thus enabling a large number of applications for a broad range of industries and society at large. Mobile network operators, expected to provide the network infrastructure for many of these applications, face an unprecedented level of complexity. This complexity not only relates to the number of applications that share the network infrastructure, but also to the different network Quality of Service (QoS) requirements these application have. To achieve economies of scale, automation in management of those applications throughout their lifecycle is essential. In this paper, we propose an architecture that automates allocation, monitoring and deallocation of both cloud and cellular network resources to ensure QoS for applications that involve connected devices communicating with cloud-hosted software. We describe an implementation of this architecture using a combination of open source, commercial, and custom components and evaluate it through a series of measurements. Results show that our implementation can simultaneously support mobile broadband and low latency, high availability mission-critical applications.
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| 9. |
- Vulgarakis Feljan, Aneta, et al.
(författare)
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A Framework for Knowledge Management and Automated Reasoning Applied on Intelligent Transport Systems
- 2017
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Rapport (populärvet., debatt m.m.)abstract
- Cyber-Physical Systems in general, and Intelligent Transport Systems (ITS) in particular use heterogeneous data sources combined with problem solving expertise in order to make critical decisions that may lead to some form of actions e.g., driver notifications, change of traffic light signals and braking to prevent an accident. Currently, a major part of the decision process is done by human domain experts, which is time-consuming, tedious and error-prone. Additionally, due to the intrinsic nature of knowledge possession this decision process cannot be easily replicated or reused. Therefore, there is a need for automating the reasoning processes by providing computational systems a formal representation of the domain knowledge and a set of methods to process that knowledge. In this paper, we propose a knowledge model that can be used to express both declarative knowledge about the systems’ components, their relations and their current state, as well as procedural knowledge representing possible system behavior. In addition, we introduce a framework for knowledge management and automated reasoning (KMARF). The idea behind KMARF is to automatically select an appropriate problem solver based on formalized reasoning expertise in the knowledge base, and convert a problem definition to the corresponding format. This approach automates reasoning, thus reducing operational costs, and enables reusability of knowledge and methods across different domains. We illustrate the approach on a transportation planning use case.
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