| 1. |
- Da Lio, Mauro, et al.
(författare)
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Exploiting Dream-Like Simulation Mechanisms to Develop Safer Agents for Automated Driving The "Dreams4Cars" EU Research and Innovation Action
- 2017
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Ingår i: 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). - : IEEE. - 9781538615263 - 9781538615270
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Konferensbidrag (refereegranskat)abstract
- Automated driving needs unprecedented levels of reliably and safety before marked deployment. The average human driver fatal accident rate is 1 every 100 million miles. Automated vehicles will have to provably best these figures. This paper introduces the notion of dream-like mechanisms as a simulation technology to produce a large number of hypothetical design and test scenarios - especially focusing on variations of more frequent dangerous and near miss events. Grounded in the simulation hypothesis of cognition, we show here some principles for effective simulation mechanisms and an artificial cognitive system architecture that can learn from the simulated situations.
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| 2. |
- Flores-García, Erik, et al.
(författare)
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Characterizing Digital Dashboards for Smart Production Logistics
- 2022
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Ingår i: Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. - Cham : Springer Nature Switzerland AG. - 9783031164101 - 9783031164118 ; , s. 521-528, s. 521-528
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Konferensbidrag (refereegranskat)abstract
- Developing digital dashboards (DD) that support staff in monitoring, identifying anomalies, and facilitating corrective actions are decisive for achieving the benefits of Smart Production Logistics (SPL). However, existing literature about SPL has not sufficiently investigated the characteristics of DD allowing staff to enhance operational performance. This conceptual study identifies the characteristics of DD in SPL for enhancing operational performance of material handling. The study presents preliminary findings from an ongoing laboratory development, and identifies six characteristics of DD. These include monitoring, analysis, prediction, identification, recommendation, and control. The study discusses the implications of these characteristics when applied to energy consumption, makespan, on-time delivery, and status for material handling. The study proposes the prototype of a DD in a laboratory environment involving Autonomous Mobile Robots.
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| 3. |
- Najjar Azali, Negin, 1992-, et al.
(författare)
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On the Need of BIM Implementation in the Historical Buildings Renovation : An Analytical KMS-based Approach Toward Upgrading the Existing Renovation Design Methods to the Building Information Model in Iran
- 2016
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Konferensbidrag (refereegranskat)abstract
- BIM (Building Information Modeling) is the new trend in accordance with the management of the information related to building design and construction; some countries such as Denmark, Singapore and the United Kingdom have mandated the implementation of BIM method for their public construction projects and considered BIM documentation/implementation as a part of their national regulations/codes. So far, there is not such a ground rule/platform in Iran to provide and improve public construction/design contracts based on BIM implementation. This gap makes the management of the generated associated knowledge difficult to capture and eventually would not support the needed effective dissemination of the prospect knowledge. Particularly the practical implementation, the associated knowledge acquisition, and application of BIM remain a major issue, in our case for the renovation projects in Iran, although the related software are in common usage. The ultimate goal of this paper is to gain a more acute perspective into the implementation of Building Information Modeling (BIM) through the renovation of the cultural/historic places/buildings and the related innovative operational approach, addressing various projects around the world by developing a conceptual model as a Knowledge Management System (KMS); it reveals that BIM adaptation for public historical renovations in Iran which not only helps to mitigate the Knowledge Management problems but also attract global actors to participate in the mentioned field beside the platform development of the KM. The establishment of the KMS and the associated dynamism must be through the core management approach and strategy of the contributing enterprises, providing the human, financial and material resources to the process; additionally, it is essential to capture and systematized generated information and knowledge throughout the lifecycle of the renovation projects. The methodology is based on a literature review of the BIM-oriented renovation investigating of the actual projects and the development of a conceptual model toward fulfilling the gap of the key management factors such as indecisive sustainability, weak project execution, unclear or divergent project goals, lack of funding or resources, lack of design and renovation standards, etc. By implementation of BIM as a knowledge-based approach in the renovation of historical and cultural projects, our conceptual model uses BIM as an information exchange framework to manage knowledge in renovation project. The paper concludes with a potential broad discussion of suggestions supporting the adaptation of BIM at the renovation stage of historical projects in Iran based on the research findings.
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| 4. |
- van Laere, Joeri, et al.
(författare)
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Challenges for critical infrastructure resilience : Cascading effects of payment system disruptions
- 2017
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Ingår i: Proceedings of the 14th ISCRAM Conference. - Linköping : Linköping university. ; , s. 281-292, s. 281-292, s. 281-292
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Konferensbidrag (refereegranskat)abstract
- Critical infrastructures become more and more entangled and rely extensively on information technology. A deeper insight into the relationships between critical infrastructures enables the actors involved to more quickly understand the severity of information technology disruptions and to identify robust cross-functional mitigating actions. This study illustrates how and why disruptions in the payment system in Sweden could create cascading effects in other critical infrastructures with potentially severe consequences for many citizens, government institutions and companies. Data from document studies, interviews and workshops with field experts reveal seven challenges for collective cross-functional critical infrastructure resilience that need to be dealt with: 1) Shortage of food, fuel, cash, medicine; 2) Limited capacity of alternative payment solutions; 3) Cities are more vulnerable than the countryside; 4) Economically vulnerable groups in society are more severely affected; 5) Trust maintenance needs; 6) Crisis communication needs; 7) Fragmentation of responsibility for critical infrastructures across many actors.
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| 5. |
- Salin, Hannes, et al.
(författare)
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A Gap Analysis of the Adoption Maturity of Certificateless Cryptography in Cooperative Intelligent Transportation Systems
- 2023
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Ingår i: Journal of Cybersecurity and Privacy. - : MDPI. - 2624-800X .- 2624-800X. ; 3:3, s. 591-609
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Tidskriftsartikel (refereegranskat)abstract
- Cooperative Intelligent Transport Systems (C-ITSs) are an important development for society. C-ITSs enhance road safety, improve traffic efficiency, and promote sustainable transportation through interconnected and intelligent communication between vehicles, infrastructure, and traffic-management systems. Many real-world implementations still consider traditional Public Key Infrastructures (PKI) as the underlying trust model and security control. However, there are challenges with the PKI-based security control from a scalability and revocation perspective. Lately, certificateless cryptography has gained research attention, also in conjunction with C-ITSs, making it a new type of security control to be considered. In this study, we use certificateless cryptography as a candidate to investigate factors affecting decisions (not) to adopt new types of security controls, and study its current gaps, key challenges and possible enablers which can influence the industry. We provide a qualitative study with industry specialists in C-ITSs, combined with a literature analysis of the current state of research in certificateless cryptographic in C-ITS. It was found that only 53% of the current certificateless cryptography literature for C-ITSs in 2022–2023 provide laboratory testing of the protocols, and 0% have testing in real-world settings. However, the trend of research output in the field has been increasing linearly since 2016 with more than eight times as many articles in 2022 compared to 2016. Based on our analysis, using a five-phased Innovation-Decision Model, we found that key reasons affecting adoption are: availability of proof-of-concepts, knowledge beyond current best practices, and a strong buy-in from both stakeholders and standardization bodies.
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| 6. |
- Rabet, Rahmat, et al.
(författare)
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A simheuristic approach towards supply chain scheduling : Integrating production, maintenance and distribution
- 2024
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Ingår i: Applied Soft Computing. - : Elsevier. - 1568-4946 .- 1872-9681. ; 153
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Tidskriftsartikel (refereegranskat)abstract
- This study attempts to integrate production, maintenance, and delivery operations among supply chain members. Despite numerous studies in the field of supply chain management, researchers have often overlooked crucial aspects, such as uncertainties in demand and production. For instance, the significant impact of maintenance activities on production flow has been underrepresented in supply chain management literature. This study investigates these gaps in the context of a fertilizer producer case study, which is characterized by seasonal demand and the functional silos syndrome due to old-fashioned management approaches. This study proposes a mathematical model and two multi-objective simheuristics for the Integrated Production, Maintenance, and Distribution Scheduling Problem (IPMDSP) considering demand variation for multiple products and product delivery time-windows using a heterogeneous fleet of vehicles. The IPMDSP is solved using the ϵ-constraint method and simheuristics linking the simulation model to customized and tuned versions of Particle Swarm Optimization (MOPSO) and the Non-dominated Sorting Genetic Algorithm (NSGA-II). The optimization objectives include minimizing maintenance duration, distribution costs, and customer dissatisfaction due to delivery tardiness. The results demonstrate the superiority of the simheuristic empowered by NSGA-II over the MOPSO in solving the IPMDSP. The comparison between the performance of deterministic and stochastic approaches in addressing the problem reveals that neglecting uncertainty caused by maintenance activities can lead to an increase in optimization objectives. Furthermore, the proposed simheuristics achieved significant improvements in minimizing objectives in solving the fertilizer producer case study.
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| 7. |
- Gerdes, Mike, et al.
(författare)
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Decision Trees and the Effects of Feature Extraction Parameters for Robust Sensor Network Design
- 2017
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Ingår i: Eksploatacja i Niezawodność – Maintenance and Reliability. - : Polskie Naukowo - Techniczne Towarzystwo Eksploatacyjne. - 1507-2711 .- 2956-3860. ; 19:1, s. 31-42
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Tidskriftsartikel (refereegranskat)abstract
- Reliable sensors and information are required for reliable condition monitoring. Complex systems are commonly monitored by many sensors for health assessment and operation purposes. When one of the sensors fails, the current state of the system cannot be calculated in same reliable way or the information about the current state will not be complete. Condition monitoring can still be used with an incomplete state, but the results may not represent the true condition of the system. This is especially true if the failed sensor monitors an important system parameter. There are two possibilities to handle sensor failure. One is to make the monitoring more complex by enabling it to work better with incomplete data; the other is to introduce hard or software redundancy. Sensor reliability is a critical part of a system. Not all sensors can be made redundant because of space, cost or environmental constraints. Sensors delivering significant information about the system state need to be redundant, but an error of less important sensors is acceptable. This paper shows how to calculate the significance of the information that a sensor gives about a system by using signal processing and decision trees. It also shows how signal processing parameters influence the classification rate of a decision tree and, thus, the information. Decision trees are used to calculate and order the features based on the information gain of each feature. During the method validation, they are used for failure classification to show the influence of different features on the classification performance. The paper concludes by analysing the results of experiments showing how the method can classy different errors with a 75% probability and how different feature extraction options influence the information gain.
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| 8. |
- Schmidt, Bernard, 1981-, et al.
(författare)
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Context Awareness in Predictive Maintenance
- 2016
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Ingår i: Current Trends in Reliability, Availability, Maintainability and Safety<em></em>. - Cham : Springer. - 9783319235974 - 9783319235967 ; , s. 197-211
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Bokkapitel (refereegranskat)abstract
- Maintenance of assembly and manufacturing equipment is crucial to ensure productivity, product quality, on-time delivery, and a safe working environment. Predictive Maintenance approach utilizes the condition monitoring (CM) data to predict the future machine conditions and makes decisions upon this prediction. Recent development in CM leads to context aware approach where in parallel with CM measurements also data and information related to the context are gathered. Context could be operational condition, history of machine usage and performed maintenance actions. In general more obtained information gives better accuracy of prediction. It is important to track operational context in dynamically changing environment. Today in manufacturing we can observe shift from mass production to mass customisation. This leads to changes from long series of identical products to short series of different variants. Therefore implies changing operational conditions for manufacturing equipment. Moreover, where asset consist of multiple identical or similar equipment the context aware method can be used to combine in reliable way information. This should allow to increase accuracy of prediction for population as a whole as well as for each equipment instances. Same of those data have been already recorded and stored in industrial IT systems. However, it is distributed over different IT systems that are used by different functional units (e.g. maintenance department, production department, quality department, tooling department etc.). This paper is a conceptual paper based on initial research work and investigation in two manufacturing companies from automotive industry.
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| 9. |
- Alklind Taylor, Anna-Sofia, 1975-, et al.
(författare)
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Guardian Angel : Using Lighting Drones to Improve Traffic Safety, Sense of Security, and Comfort for Cyclists
- 2023
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Ingår i: Lecture Notes in Computer Science. - Cham : Springer. - 9783031480461 - 9783031480478 ; , s. 209-223
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Konferensbidrag (refereegranskat)abstract
- Active mobility, such as biking, faces a common challenge in Swedish municipalities due to the lack of adequate lighting during the dark winter months. Insufficient lighting infrastructure hinders individuals from choosing bicycles, despite the presence of well-maintained bike paths and a willingness to cycle. To address this issue, a project has been undertaken in the Swedish municipality of Skara for an alternative lighting solution using drones. A series of tests have been conducted based on drone prototypes developed for the selected bike paths. Participants were invited to cycle in darkness illuminated by drone lighting and share their mobility preferences and perception. This paper summarizes the users’ perception of drone lighting as an alternative to fixed lighting on bike paths, with a special focus on the impact on travel habits and the perceived sense of security and comfort. Most participants were regular cyclists who cited bad weather, time, and darkness as significant factors that deterred them from using bicycles more frequently, reducing their sense of security. With drone lighting, the participants appreciated the illumination’s moonlight-like quality and its ability to enhance their sense of security by illuminating the surroundings. On the technology side, they gave feedback on reducing the drone’s sound and addressing lighting stability issues. In summary, the test results showcase the potential of drone lighting as a viable alternative to traditional fixed lighting infrastructure, offering improved traffic safety, sense of security, and comfort. The results show the feasibility and effectiveness of this innovative approach, supporting transformation towards active and sustainable mobility, particularly in regions facing lighting challenges.
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| 10. |
- Atif, Yacine, 1967-, et al.
(författare)
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Cyber-Threat Intelligence Architecture for Smart-Grid Critical Infrastructures Protection
- 2017
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Konferensbidrag (refereegranskat)abstract
- Critical infrastructures (CIs) are becoming increasingly sophisticated with embedded cyber-physical systems (CPSs) that provide managerial automation and autonomic controls. Yet these advances expose CI components to new cyber-threats, leading to a chain of dysfunctionalities with catastrophic socio-economical implications. We propose a comprehensive architectural model to support the development of incident management tools that provide situation-awareness and cyber-threats intelligence for CI protection, with a special focus on smart-grid CI. The goal is to unleash forensic data from CPS-based CIs to perform some predictive analytics. In doing so, we use some AI (Artificial Intelligence) paradigms for both data collection, threat detection, and cascade-effects prediction.
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