| 1. |
- Amadori, Kristian, et al.
(författare)
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Flexible and Robust CAD Models for Design Automation
- 2012
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Ingår i: Advanced Engineering Informatics. - : Elsevier BV. - 1474-0346 .- 1873-5320. ; 26:2, s. 180-195
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Tidskriftsartikel (refereegranskat)abstract
- This paper explores novel methodologies for enabling Multidisciplinary Design Optimization (MDO) of complex engineering products. To realize MDO, Knowledge Based Engineering (KBE) is adopted with the aim of achieving design reuse and automation. The aim of the on-going research at Linköping University is to shift from manual modelling of disposable geometries to Computer Aided Design (CAD) automation by introducing generic high-level geometry templates. Instead of repeatedly modelling similar instances of objects, engineers should be able to create more general models that can represent entire classes of objects. The proposed methodology enables utilization of commercial design tools, hence taking industrial feasibility into consideration. High Level CAD templates (HLCt) will be proposed and discussed as the building blocks of flexible and robust CAD models, which in turn enables high-fidelity geometry in the MDO loop. Quantification of the terms flexibility and robustness is also presented, providing a means to measure the quality of the geometry models. Finally, application examples are presented in which the outlined framework is evaluated. The applications have been chosen from three ongoing research projects aimed at automating the design of transport aircraft, industrial robots, and micro air vehicles.
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| 2. |
- André, Samuel, 1986-, et al.
(författare)
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Modeling of transdisciplinary engineering assets using the design platform approach for improved customization ability
- 2018
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Ingår i: Advanced Engineering Informatics. - : Elsevier. - 1474-0346 .- 1873-5320. ; 38, s. 277-290
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Tidskriftsartikel (refereegranskat)abstract
- Original equipment suppliers (OES) that develop unique products are continuously faced with changing requirements during both the quotation and product development processes. This challenge is a different reality from companies that develop off-the-shelf products for the end consumer, which use fixed specifications and where product platforms have been a strong enabler for efficient mass customization. However, product platforms cannot adequately support companies working as OES. The reason is that a high level of customization is required which means that interfaces cannot be standardized, the performance is not negotiable, requirements are not initially fixed, and the specific system interacts with, is affected by, or affects other systems that are simultaneously developed in a transdisciplinary environment. The design platform (DP) approach provides a coherent environment for heterogeneous and transdisciplinary design resources to be used in product development by supporting both designing and off-the-shelf solutions. This research describes the introduction, application and further development of the DP approach at an automotive supplier to support the development of customized solutions when traditional modularity or platform scalability do not suffice. A computer tool called Design Platform Manager has been developed to support the creation and visualization of the DP. The support tool has a connection to a product data management database to link the platform model to the various kinds of engineering assets needed or intended to support variant creation. Finally, the support tool was evaluated by the case company representatives showing promising results.
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| 3. |
- Aslani, Mohammad, et al.
(författare)
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Traffic signal optimization through discrete and continuous reinforcement learning with robustness analysis in downtown Tehran
- 2018
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Ingår i: Advanced Engineering Informatics. - : Elsevier BV. - 1474-0346 .- 1873-5320. ; 38, s. 639-655
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Tidskriftsartikel (refereegranskat)abstract
- Traffic signal control plays a pivotal role in reducing traffic congestion. Traffic signals cannot be adequately controlled with conventional methods due to the high variations and complexity in traffic environments. In recent years, reinforcement learning (RL) has shown great potential for traffic signal control because of its high adaptability, flexibility, and scalability. However, designing RL-embedded traffic signal controllers (RLTSCs) for traffic systems with a high degree of realism is faced with several challenges, among others system disturbances and large state-action spaces are considered in this research.The contribution of the present work is founded on three features: (a) evaluating the robustness of different RLTSCs against system disturbances including incidents, jaywalking, and sensor noise, (b) handling a high-dimensional state-action space by both employing different continuous state RL algorithms and reducing the state-action space in order to improve the performance and learning speed of the system, and (c) presenting a detailed empirical study of traffic signals control of downtown Tehran through seven RL algorithms: discrete state Q-learning(λ" role="presentation">), SARSA(λ" role="presentation">), actor-critic(λ" role="presentation">), continuous state Q-learning(λ" role="presentation">), SARSA(λ" role="presentation">), actor-critic(λ" role="presentation">), and residual actor-critic(λ" role="presentation">).In this research, first a real-world microscopic traffic simulation of downtown Tehran is carried out, then four experiments are performed in order to find the best RLTSC with convincing robustness and strong performance. The results reveal that the RLTSC based on continuous state actor-critic(λ" role="presentation">) has the best performance. In addition, it is found that the best RLTSC leads to saving average travel time by 22% (at the presence of high system disturbances) when it is compared with an optimized fixed-time controller.
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| 4. |
- Balkenius, Christian, et al.
(författare)
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Ikaros: Building Cognitive Models for Robots
- 2010
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Ingår i: Advanced Engineering Informatics. - : Elsevier BV. - 1873-5320 .- 1474-0346. ; 24:1, s. 40-48
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Tidskriftsartikel (refereegranskat)abstract
- The Ikaros project started in 2001 with the aim of developing an open infrastructure for system-level brain modeling. The system has developed into a general tool for cognitive modeling as well as robot control. Here we describe the main parts of the Ikaros system and how it has been used to implement various cognitive systems and to control a number of different robots ranging from robot arms and hands to active vision systems and mobile robots. (C) 2009 Elsevier Ltd. All rights reserved.
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| 5. |
- Bucaioni, Alessio, 1987-, et al.
(författare)
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Modelling centralised automotive E/E software architectures
- 2024
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Ingår i: Advanced Engineering Informatics. - : Elsevier Ltd. - 1474-0346 .- 1873-5320. ; 59
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Tidskriftsartikel (refereegranskat)abstract
- The automotive domain is living in an exciting period triggered by challenging business and technology drivers, like electrification, autonomous driving, over-the-air software updates and connected vehicles, just to mention a few. This profoundly impacted the electric and electronic automotive architecture and pushed more and more manufacturers to shift towards more centralised electric and electronic architectures for their future automotive software systems. In fact, future centralised architectures are considered to be pivotal to meeting the above-mentioned market needs, as well as evolving customer requirements. In this work, we first analyse the readiness of four main automotive architectural languages to represent novel vehicle-centralised architectures. Based on the analysis results, we propose an extension to one of these languages to fully support the modelling of technical reference architectures for centralised vehicles. We validate the proposed extension using workshops with experts in the automotive domain and using an automotive use case describing an autonomous quarry.
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| 6. |
- Chokwitthaya, Chanachok, et al.
(författare)
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Ontology for experimentation of human-building interactions using virtual reality
- 2023
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Ingår i: Advanced Engineering Informatics. - : Elsevier. - 1474-0346 .- 1873-5320. ; 55
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Tidskriftsartikel (refereegranskat)abstract
- Scientific experiments significantly enhance the understanding of human-building interactions in building and engineering research. Recently, conducting virtual reality (VR) experiments has gained acceptance and popularity as an approach to studying human-building interactions. However, little attention has been given to the standardization of the experimentations. Proper standardization can promote the reusability, replicability, and repeatability of VR experiments and accelerate the maturity of this emerging experimentation method. Responding to such needs, the authors proposed a virtual human-building interaction experimentation ontology (VHBIEO). It is an ontology at the domain level, extending the ontology of scientific experiments (EXPO) to standardize virtual human-building interaction experimentation. It was developed based on state-of-the-art ontology development approaches. Competency questions (CQs) were used to derive requirements and regulate the development. Semantic Web technologies were applied to make VHBIEO machine-readable, accessible, and processable. VHBIEO incorporates an application view (APV) to support the inclusion of unique information for particular applications. The authors performed taxonomy evaluations to assess the consistency, completeness, and redundancy, affirming no occurrence of errors in its structure. Application evaluations were applied for investigating its ability to standardize and support generating of machine-readable, accessible, and processable information. Application evaluations also verified the capability of APV to support the inclusion of unique information.
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| 7. |
- Conde, Javier, et al.
(författare)
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Applying digital twins for the management of information in turnaround event operations in commercial airports
- 2022
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Ingår i: Advanced Engineering Informatics. - : Elsevier BV. - 1474-0346 .- 1873-5320. ; 54, s. 101723-
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Tidskriftsartikel (refereegranskat)abstract
- The aerospace sector is one of the many sectors in which large amounts of data are generated. Thanks to the evolution of technology, these data can be exploited in several ways to improve the operation and management of industrial processes. However, to achieve this goal, it is necessary to define architectures and data models that allow to manage and homogenise the heterogeneous data collected. In this paper, we present an Airport Digital Twin Reference Conceptualisation's and data model based on FIWARE Generic Enablers and the Next Generation Service Interfaces-Linked Data standard. Concretely, we particularise the Airport Digital Twin to improve the efficiency of flight turnaround events. The architecture proposed is validated in the Aberdeen International Airport with the aim of reducing delays in commercial flights. The implementation includes an application that shows the real state of the airport, combining two-dimensional and three-dimensional virtual reality representations of the stands, and a mobile application that helps ground operators to schedule departure and arrival flights.
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| 8. |
- Elgh, Fredrik, 1971-
(författare)
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Decision Support in the Quotation Process of Engineered-to-order Products
- 2012
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Ingår i: Advanced Engineering Informatics. - Amsterdam : Elsevier. - 1474-0346 .- 1873-5320. ; 26:1, s. 66-79
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Tidskriftsartikel (refereegranskat)abstract
- Sub-suppliers acting in the supply chain of the car industry have to adopt a strategy of products customization to be at the competitive edge. This is caused by the diversity of client’s requirements that entails customer engineered products with a high level of variety. A business strategy based on engineered-to-order products requires systems for efficient generation of product variants. This also includes a need of decision support in the order preparation process as well as in the quotation preparation process. Decision support that gives access to detailed and accurate information in the quotation preparation enables a high level of product adaptation while ensuring company efficiency. By the introduction of a design automation system, this can be achieved. However, means to manage different application domains, projects, task knowledge and design information are required together with a possibility to perform detailed analyses on the system generated information. The objective of this work is to contribute in that area. Initially, a number of success criteria were identified and explorative work was conducted for the purpose to develop a conceptual model and principles that an application system would reside upon. The result is a framework consisting of an information model and underlying principles to be used when developing a design automation system for quotation preparation. A system founded on the framework supports management and analysis of quotations and product variants. The functionality and usefulness has been demonstrated and validated by a system implementation developed in collaboration with an industry partner.
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| 9. |
- Elgh, Fredrik, 1971-
(författare)
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Supporting Management and Maintenance of Manufacturing Knowledge in Design Automation Systems
- 2008
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Ingår i: Advanced Engineering Informatics. - Amsterdam : Elsevier. - 1474-0346 .- 1873-5320. ; 22:4, s. 445-456
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Tidskriftsartikel (refereegranskat)abstract
- Many companies base their business strategy on customized products. To enable a high level of product adaptation in an engineer-to-order approach companies invest time and resources to develop design automation systems. Initially, when implementing a design automation system, the focus is on successfully developing a system that generates design variants based on different customer specifications (i.e. the execution of system embedded knowledge and system output). However, in the long run, two important aspects are the management and maintenance of the knowledge that governs the designs. Further, the increasing emphasis on deploying a holistic view of a product’s properties and functions implies an increasing number of life-cycle requirements. The knowledge to adapt the product to fulfil these requirements should also be used and consequently incorporated into the knowledge-base, allowing for correct decisions to be made. In a system for automated variant design, the implications on the product of these life-cycle requirements have to be expressed as algorithms, production rules and/or computational statements to be intertwined with the design calculations. The number of requirements can be significantly large, and the knowledge scattered over different application systems used for the realisation of the design automation system. This makes it difficult to manage and maintain the system as the product life-cycle environment changes and evolves. In this article, the focus is on the requirements related to manufacturing. For that, an approach for the modelling of manufacturing requirements, supporting both knowledge execution and information management, in systems for automated variant design is introduced. The approach has been applied and refined when developing a design automation system in cooperation with a company to demonstrate and verify the approach’s usability.
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| 10. |
- Heintz, Fredrik, et al.
(författare)
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Bridging the sense-reasoning gap: DyKnow - Stream-based middleware for knowledge processing
- 2010
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Ingår i: Advanced Engineering Informatics. - : Elsevier. - 1474-0346 .- 1873-5320. ; 24:1, s. 14-26
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Tidskriftsartikel (refereegranskat)abstract
- Engineering autonomous agents that display rational and goal-directed behavior in dynamic physical environments requires a steady flow of information from sensors to high-level reasoning components. However, while sensors tend to generate noisy and incomplete quantitative data, reasoning often requires crisp symbolic knowledge. The gap between sensing and reasoning is quite wide, and cannot in general be bridged in a single step. Instead, this task requires a more general approach to integrating and organizing multiple forms of information and knowledge processing on different levels of abstraction in a structured and principled manner. We propose knowledge processing middleware as a systematic approach to organizing such processing. Desirable properties are presented and motivated. We argue that a declarative stream-based system is appropriate for the required functionality and present DyKnow, a concrete implemented instantiation of stream-based knowledge processing middleware with a formal semantics. Several types of knowledge processes are defined and motivated in the context of a UAV traffic monitoring application. In the implemented application, DyKnow is used to incrementally bridge the sense-reasoning gap and generate partial logical models of the environment over which metric temporal logical formulas are evaluated. Using such formulas, hypotheses are formed and validated about the type of vehicles being observed. DyKnow is also used to generate event streams representing for example changes in qualitative spatial relations, which are used to detect traffic violations expressed as declarative chronicles.
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