| 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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| 11. |
- Horvat, Nikola, et al.
(författare)
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Immersive virtual reality applications for design reviews : Systematic literature review and classification scheme for functionalities
- 2022
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Ingår i: Advanced Engineering Informatics. - : Elsevier. - 1474-0346 .- 1873-5320. ; 54
-
Forskningsöversikt (refereegranskat)abstract
- The development of immersive virtual reality (IVR) applications for design reviews is a major trend in the design field. While many different applications have been developed, there is little consensus on the functionalities necessary for these applications. This paper proposes a classification scheme for IVR functionalities related to design reviews (DRs), combining conceptual-to-empirical and empirical-to-conceptual strategies. The classification scheme consists of eight class categories (Input, Representation, Navigation, Manipulation, Collaboration, Edit, Creation, and Output), 22 class subcategories, and 55 classes. The classification scheme has been validated by analysing several commercial IVR applications for DRs. As part of the classification scheme development, Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) was utilised to review 70 articles that develop IVR applications for DRs. The results from systematic literature reviews suggest the development of solutions that integrate several class categories, are better connected to current design workflows, include various design information, support a DR planning cycle, and support distributed work. The proposed classification scheme helps to orient the future development of IVR applications for DRs and provides a framework to systematically accumulate evidence on the effect of such applications on DRs.
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| 12. |
- Hu, Gang, et al.
(författare)
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DETDO: An adaptive hybrid dandelion optimizer for engineering optimization
- 2023
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Ingår i: Advanced Engineering Informatics. - : ELSEVIER SCI LTD. - 1474-0346 .- 1873-5320. ; 57
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Tidskriftsartikel (refereegranskat)abstract
- Dandelion Optimizer (DO) is a recently proposed swarm intelligence algorithm that coincides with the process of finding the best reproduction site for dandelion seeds. Compared with the classical Meta-heuristic algorithms, DO exhibits strong competitiveness, but it also has some drawbacks. In this paper, we proposed an adaptive hybrid dandelion optimizer called DETDO by combining three strategies of adaptive tent chaotic mapping, differential evolution (DE) strategy, and adaptive t-distribution perturbation to address the shortcomings of weak DO development, easy to fall into local optimum and slow convergence speed. Firstly, the adaptive tent chaos mapping is used in the initialization phase to obtain a uniformly distributed high-quality initial population, which helps the algorithm to enter the correct search region quickly. Secondly, the DE strategy is introduced to increase the diversity of dandelion populations to avoid algorithm stagnation, which improves the exploitation capability and the accuracy of the optimal solution. Finally, adaptive t-distribution perturbation around the elite solution successfully balances the exploration and exploitation phases while improving the convergence speed through a reasonable conversion from Cauchy to Gaussian distribution. The proposed DETDO is compared with classical or advanced optimization algorithms on CEC2017 and CEC2019 test sets, and the experimental results and statistical analysis demonstrate that the algorithm has better optimization accuracy and speed. In addition, DETDO has obtained the best results in solving six real-world engineering design problems. Finally, DETDO is applied to two bar topology optimization cases. Under a series of complex constraints, DETDO produces a lighter bar structure than the current scheme. It further illustrates the effectiveness and applicability of DETDO in practical problems. The above results mean that DETDO with strong competitiveness will become a preferred swarm intelligence algorithm to cope with optimization problems.
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| 13. |
- Johansson, Joel, 1978-, et al.
(författare)
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Supporting connectivism in knowledge based engineering with graph theory, filtering techniques and model quality assurance
- 2018
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Ingår i: Advanced Engineering Informatics. - : Elsevier. - 1474-0346 .- 1873-5320. ; 38, s. 252-263
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Tidskriftsartikel (refereegranskat)abstract
- Mass-customization has forced manufacturing companies to put significant efforts to digitize and automate their engineering and production processes. When new products are to be developed and introduced the production is not alone to be automated. The application of knowledge regarding how the product should be designed and produced based on customer requirements also must be automated. One big academic challenge is helping industry to make sure that the background knowledge of the automated engineering processes still can be understood by its stakeholders throughout the product life cycle. The research presented in this paper aims to build an infrastructure to support a connectivistic view on knowledge in knowledge based engineering. Fundamental concepts in connectivism include network formation and contextualization, which are here addressed by using graph theory together with information filtering techniques and quality assurance of CAD-models. The paper shows how engineering knowledge contained in spreadsheets, knowledge-bases and CAD-models can be penetrated and represented as filtered graphs to support a connectivistic working approach. Three software demonstrators developed to extract filtered graphs are presented and discussed in the paper.
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| 14. |
- Liu, Quan, et al.
(författare)
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Deep reinforcement learning-based safe interaction for industrial human-robot collaboration using intrinsic reward function
- 2021
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Ingår i: Advanced Engineering Informatics. - : Elsevier BV. - 1474-0346 .- 1873-5320. ; 49
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Tidskriftsartikel (refereegranskat)abstract
- Aiming at human-robot collaboration in manufacturing, the operator's safety is the primary issue during the manufacturing operations. This paper presents a deep reinforcement learning approach to realize the real-time collision-free motion planning of an industrial robot for human-robot collaboration. Firstly, the safe human robot collaboration manufacturing problem is formulated into a Markov decision process, and the mathematical expression of the reward function design problem is given. The goal is that the robot can autonomously learn a policy to reduce the accumulated risk and assure the task completion time during human-robot collaboration. To transform our optimization object into a reward function to guide the robot to learn the expected behaviour, a reward function optimizing approach based on the deterministic policy gradient is proposed to learn a parameterized intrinsic reward function. The reward function for the agent to learn the policy is the sum of the intrinsic reward function and the extrinsic reward function. Then, a deep reinforcement learning algorithm intrinsic reward-deep deterministic policy gradient (IRDDPG), which is the combination of the DDPG algorithm and the reward function optimizing approach, is proposed to learn the expected collision avoidance policy. Finally, the proposed algorithm is tested in a simulation environment, and the results show that the industrial robot can learn the expected policy to achieve the safety assurance for industrial human-robot collaboration without missing the original target. Moreover, the reward function optimizing approach can help make up for the designed reward function and improve policy performance.
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| 15. |
- Liu, Zhihao, et al.
(författare)
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Adaptive real-time similar repetitive manual procedure prediction and robotic procedure generation for human-robot collaboration
- 2023
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Ingår i: Advanced Engineering Informatics. - : Elsevier BV. - 1474-0346 .- 1873-5320. ; 58
-
Tidskriftsartikel (refereegranskat)abstract
- Manual procedure recognition and prediction are essential for practical human-robot collaboration in industrial tasks, such as collaborative assembly. However, current research mostly focuses on diverse human motions, while the similar repetitive manual procedures that are prevalent in real production tasks are often overlooked. Furthermore, the dynamic uncertainty caused by human-robot interferences and the generalisation of individuals, scenarios, and multiple sensor deployments pose challenges for implementing manual procedure prediction and robotic procedure generation. To address these issues, this paper proposes a real-time, similar repetitive procedure-oriented human skeleton processing system that employs the human skeleton as a robust modality. It utilises an improved deep spatial-temporal graph convolutional network and a FIFO queue-based discriminator for real-time data processing, procedure prediction, and generation. The proposed method is validated on multiple datasets with tens of individuals engaged in a real dynamic and uncertain human-robot collaborative assembly cell and able to run on entry-level hardware. The results demonstrate competitive performance of handcraft feature-free, early prediction and generalisation on individual variance, environment background, camera position, lighting conditions, and stochastic interference in human-robot collaboration.
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| 16. |
- Pandya, Sharnil, et al.
(författare)
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Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence
- 2021
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Ingår i: Advanced Engineering Informatics. - : Elsevier. - 1474-0346 .- 1873-5320. ; 47
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Tidskriftsartikel (refereegranskat)abstract
- In recent times, Ambient Assisted Living has emerged as Smart Living. Smart living is a subset of ambient intelligence, which uses the latest technologies, intellectual processes, and ambient intelligent methodologies to enable house residents to live independently with a virtual companion 24 x 7. Typically, these residents are highly engrossed in the daily routine activities that they tend to ignore certain acoustic events attributing them to the white noise caused due to tap water leakage, flush water leakage, the acoustics of door opening/closing, cupboard opening/closing, curtain opening/closing, television, shower, radio, chair and many more. These unattended events lead to a waste of critical energy resources such as electricity, water, and gas and may cause accidents in some cases. For the conducted experiments, a customized dataset termed as "unknown-2000" and ESC-50 has been used, which has more than 2000 audio sound classification samples. The customized dataset is used for the conducted experiments, consisting of various length acoustic events ranging from 2 s to 10 s. In the proposed review, we have identified, analyzed, and evaluated resident acoustic events using Librosa machine learning libraries, texture analysis using LBP methodology, LSTM-CNN, SVM, KNN, LSTM, Bi-LSTM, and Decision Tree-based classification approaches. Furthermore, in the proposed approach, based on the conducted rigorous and detailed analysis, we are also envisioning the prospective ways to enhance smart living concepts by proposing a novel Acoustic Event Detection and Classification System. The investigation results validate the success of the proposed approach. The obtained results indicate that the customized version of the LSTM-CNN based classification approach used in the conducted experiment has outperformed all the other customized classification approaches, such as SVM, KNN-based classification, C4.5 decision tree-based classification, LSTM, and BiLSTM based classification. The LSTM-CNN based classification model has achieved an average value of approximately 0.77 and a standard deviation of 0.2295. Furthermore, the obtained experiential results show that the proposed approach has produced a good performance in various noisy conditions such as SNR0, SNR3, SNR6, SNR9, SNR12, and SNR15. The system classification accuracy has been enhanced to 77% for various acoustic events of a residence. In the end, a detailed comparison of LBP and without LBP approaches has been carried out, which proves that the combination of LBP and LSTM-CNN classification approach provides better results than without the LBP classification approach. The proposed Ambient Acoustic Event Assistive Framework is a costeffective alternative due to the use of low-cost microphone sensors in the conducted experiments.
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| 17. |
- Poorkiany, Morteza, et al.
(författare)
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Capturing, structuring and accessing design rationale in integrated product design and manufacturing processes
- 2016
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Ingår i: Advanced Engineering Informatics. - : Elsevier. - 1474-0346 .- 1873-5320. ; 30:3, s. 522-536
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Tidskriftsartikel (refereegranskat)abstract
- Developing customized products is the business case for many manufacturing companies striving to fulfill the customers’ specific needs. When manufacturing customized products it is often necessary to also develop corresponding customized manufacturing tooling. There is a need to support concurrent development of new product variants along with their manufacturing toolsets. The communication between design engineers and manufacturing engineers is hence a key issue that if solved would enable design engineers to foresee how changes in product design affect tooling design and vice versa. To understand the correlation between the design of a product and its corresponding manufacturing tools, access to design rationale of the product and the developed tooling is required. Design rationale provides an explanation of why an artifact is designed in the way it is, including statements (textual, numerical or geometrical), argumentations, and decisions. Since design rationale is composed of information scattered all across the company's repositories in different formats (e.g. in type of a geometry, picture, table, and textual document), representing the design rationale is a challenge for many enterprises. In this paper a method is introduced that enables capture, structure and access to design rationale across product design and tooling design. The system enables representing design rationale in formats such as CAD models, spreadsheets, textual formats, and web pages. The method has been examined by developing a prototype system tested in a case company which develops and manufactures customized car accessories, such as roof racks and bike carriers, for different car models. The company develops and manufactures the products as well as the required tooling equipment. The prototype system includes different software commonly used by engineers during designing a product, for the purpose of making it applicable for other companies.
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| 18. |
- Schultz, Carl, et al.
(författare)
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Bridging qualitative spatial constraints and feature-based parametric modelling : Expressing visibility and movement constraints
- 2017
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Ingår i: Advanced Engineering Informatics. - : Elsevier. - 1474-0346 .- 1873-5320. ; 31, s. 2-17
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Tidskriftsartikel (refereegranskat)abstract
- We present a concept for integrating state-of-the-art methods in geometric and qualitative spatial representation and reasoning with feature-based parametric modelling systems. Using a case-study involving a combination of topological, visibility, and movement constraints, we demonstrate the manner in which a parametric model may be constrained by the spatial aspects of conceptual design specifications and higher-level semantic design requirements. We demonstrate the proposed methodology by applying it to architectural floor plan layout design, where a number of spaces with well defined functionalities have to be arranged such that particular functional design constraints are maintained. The case-study is developed by an integration of the declarative spatial reasoning system CLP(QS) (CLP(QS) - a declarative spatial reasoning system. www.spatial-reasoning.com.) with the parametric CAD system FreeCAD.
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| 19. |
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| 20. |
- Woksepp, Stefan, et al.
(författare)
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Credibility and applicability of virtual reality models in design and construction
- 2008
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Ingår i: Advanced Engineering Informatics. - : Elsevier BV. - 1474-0346 .- 1873-5320. ; 22:4, s. 520-528
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Tidskriftsartikel (refereegranskat)abstract
- In this paper, we present the findings from an extensive study of the use of virtual reality (VR) models in large construction projects. The study includes two parts: The first part presents a quantitative questionnaire designed to investigate how VR models are experienced and assessed by the workforce at a building site. The second part includes a qualitative field survey of how VR models can be applied and accepted by professionals in the design and planning process of a large pelletizing plant. Through mainly studying persons who had little or no experience with advanced information technology (IT), we hoped to reveal the attitudes of the average person working at a construction site rather than of an IT expert. In summary, the study shows that the VR models in both projects have been very useful and well accepted by the users. Today's information flow is, from a general point of view, considered to be insufficient and the hypothesis is that using VR models in the construction process have the potential to minimize waste of resources and improve the final result.
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| 21. |
- Xiao, Yaning, et al.
(författare)
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MSAO: A multi-strategy boosted snow ablation optimizer for global optimization and real-world engineering applications
- 2024
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Ingår i: Advanced Engineering Informatics. - : ELSEVIER SCI LTD. - 1474-0346 .- 1873-5320. ; 61
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Tidskriftsartikel (refereegranskat)abstract
- Snow Ablation Optimizer (SAO) is a cutting-edge nature-inspired meta-heuristic technique that mimics the sublimation and melting processes of snow in its quest for optimal solution to complex problems. While SAO has demonstrated competitive performance in comparison to classical algorithms in early research, it still exhibits certain limitations including low convergence accuracy, a lack of population diversity, and premature convergence, particularly when addressing high-dimensional intricate challenges. To mitigate the above-mentioned adverse factors, this paper introduces a novel variant of SAO with featuring four enhancement strategies collectively referred as MSAO. Firstly, the good point set initialization strategy is employed to generate a uniformly distributed high-quality population, which facilitates the algorithm to enter the appropriate search domain rapidly. Secondly, the greedy selection method is adopted to reserve better candidate solutions for the next iteration, thus striking a robust exploration-exploitation balance. Then, the Differential Evolution (DE) scheme is introduced to expand the search range and enhance the exploitation capability of the algorithm for higher convergence accuracy. Finally, to reduce the risk of falling into local optima, a Dynamic Lens OppositionBased Learning (DLOBL) strategy is developed to operate on the current optimal solution dimension by dimension. With the blessing of these strategies, the optimization performance of MSAO is comprehensively improved. To comprehensively evaluate the optimization performance of MSAO, a series of numerical optimization experiments are conducted using the IEEE CEC2017 & CEC2022 test sets. In the IEEE CEC2017 experiments, the optimal crossover probability CR = 0.8 is determined and the effectiveness of each improvement strategy is ablatively verified. MSAO is compared with the basic SAO, various state-of-the-art optimizers, and CEC2017 champion algorithms in terms of solution accuracy, convergence speed, robustness, and scalability. In the IEEE CEC2022 experiments, MSAO is compared with some recently developed improved algorithms to further validate its superiority. The results demonstrate that MSAO has excellent overall optimization performance, with the smallest Friedman mean rankings of 1.66 and 1.25 on both test suites, respectively. In the majority of test cases, MSAO can provide more accurate and reliable solutions than other competitors. Furthermore, six realistic constrained engineering design challenges and one photovoltaic model parameter estimation issue are employed to demonstrate the practicality of MSAO. Our findings suggest that MSAO has excellent optimization capacity and broad application potential.
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| 22. |
- Yi, Shuming, et al.
(författare)
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Safety-aware human-centric collaborative assembly
- 2024
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Ingår i: Advanced Engineering Informatics. - : Elsevier BV. - 1474-0346 .- 1873-5320. ; 60
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Tidskriftsartikel (refereegranskat)abstract
- Manufacturing systems envisioned for factories of the future will promote human-centricity for close collaboration in a shared working environment towards better overall productivity within the context of Industry 5.0. Robust and accurate recognition and prediction of human intentions are crucial to reliable and safe collaborative operations between humans and robots. For this purpose, this paper proposed a safety-aware human-centric collaborative assembly approach driven by function blocks, human action recognition for intention detection, and collision avoidance for safe robot control. Within the context, a deep learning-based recognition system is developed for high-accuracy human intention recognition and prediction, and an assembly feature-based approach driven by function blocks is presented for assembly execution and control. Thus, assembly features and human behaviours during assembly are formulated to support safe assembly actions. Skeleton-based human behaviours are defined as control inputs to an adaptive safety-aware scheme. The scheme includes collaborative and parallel mode-based pre-warning and obstacle avoidance approaches for a human-centric collaborative assembly system. The former is to monitor and regulate robot control modes when working in parallel with humans, and the latter uses a position-based approach to control robot actions by adaptively adjusting obstacle avoidance trajectories in a dynamic collaborative environment. The findings of this paper reveal the effectiveness of the developed system, as experimentally validated through an engine-assembly case study.
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| 23. |
- Cheng, J. C. P., et al.
(författare)
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Modeling and monitoring of construction supply chains
- 2010
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Ingår i: Advanced Engineering Informatics. - : Elsevier BV. - 1474-0346. ; 24:4, s. 435-455
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Tidskriftsartikel (refereegranskat)abstract
- The planning and management of supply chains require properly specifying the participating members and the relationships among them. Construction supply chains usually consist of numerous participants and are complex in structure Representing construction supply chains using a network model can help understand the complexity, support re-configuration, identify the bottlenecks, and prioritize company's resources, as well as add values to the management of construction projects. Using a case example on the mechanical, electrical and plumbing (MEP) processes in a construction project, this paper demonstrates the modeling of construction supply chains using the Supply Chain Operations Reference (SCOR) framework developed by the Supply Chain Council (SCC). The SCOR modeling framework provides a structured and systematic way to model and decompose a supply chain from conceptual representation to process element specificatjavascript:dropdown_help('field-abstract')ion. The SCOR framework is commonly used by corporations for strategic planning of their supply chains This paper further presents a model-based service oriented framework that leverages the SCOR models for performance monitoring of construction supply chains. In the supply chain management and monitoring framework each supply chain process element is implemented as a discrete web service component The framework is built on a service oriented collaborative system. namely SC Collaborator, that we have developed using web service technology, open standards, and open source technologies.
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| 24. |
- Nawaz, Muhammad Ul Saqlain, et al.
(författare)
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Efficient resource prediction framework for software-defined heterogeneous radio environmental infrastructures
- 2023
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Ingår i: Advanced Engineering Informatics. - : Elsevier Ltd.. - 1474-0346. ; 56
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Tidskriftsartikel (refereegranskat)abstract
- Artificial Intelligence (AI) is defining the future of next-generation infrastructures as proactive and data-driven systems. AI-empowered radio systems are replacing the existing command and control radio networks due to their intelligence and capabilities to adapt to the radio environmental infrastructures that include intelligent networks, smart cities and AV/VR enabled factory premises or localities. An efficient resource prediction framework (ERPF) is proposed to provide proactive knowledge about the availability of radio resources in such software-defined heterogeneous radio environmental infrastructures (SD-HREIs). That prior information enables the coexistence of radio users in SD-HREIs. In a proposed framework, the radio activity is measured in both the unlicensed bands that include 2.4 and 5 GHz, respectively. The clustering algorithms k- means and DBSCAN are implemented to segregate the already measured radioactivity as signal (radio occupancy) and noise (radio opportunity). Machine learning techniques CNN and LRN are then trained and tested using the segregated data to predict the radio occupancy and radio opportunity in SD-HREIs. Finally, the performance of CNN and LRN is validated using the cross-validation metrics.
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| 25. |
- Wang, Hao, 1996, et al.
(författare)
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A systematic literature review of computer vision applications in robotized wire harness assembly
- 2024
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Ingår i: Advanced Engineering Informatics. - 1474-0346. ; 62
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Tidskriftsartikel (refereegranskat)abstract
- In the current automotive industry, human operators perform wire harness assembly manually, which causes significant quality, productivity, safety, and ergonomic problems. Robotic assembly is a critical facilitator in addressing these problems. However, it remains challenging to implement for robotizing the assembly of wire harnesses. Wire harness assembly is a specific scenario of deformable linear object manipulation. Robotizing this assembly task demands robots to flexibly adapt their actions to the dynamically changing industrial environment based on robotic perception results. Existing research suggested the significance of robotic visual perception in the robotic assembly of wire harnesses. Implementing computer vision techniques is fundamental to enabling robots’ visual perception capabilities. Nonetheless, the industry has yet to introduce vision–based solutions to robotize wire harness assembly fully or partially. Through a systematic literature review, this article identifies fifteen scientific publications in vision–based robotized wire harness assembly. The results show various computer vision applications regarding wire harness components and assembly operations studied in previous research. Nevertheless, this article recognizes two significant challenges for computer vision applications in robotized wire harness assembly: (1) fulfilling production requirements on robustness and practicality and (2) exploiting the intrinsic physical features of wire harnesses for visual recognition. This article also advocated five prospective research directions toward more efficient and practical vision-based robotized wire harness assembly: (1) developing learning-based vision systems to exploit intrinsic features and multi–modality data of wire harnesses; (2) adapting vision systems proposed for robotizing assembly operations in manufacturing wire harnesses; (3) assessing the practicality, robustness, reliability, and sustainability of vision systems; (4) inquiring vision–based human–robot collaboration; and (5) exploring new product designs for facilitating visual recognition.
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| 26. |
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