| 1. |
- Abd Nikooie Pour, Mina, et al.
(författare)
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Phrase2Onto: A Tool to Support Ontology Extension
- 2023
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Ingår i: Procedia Computer Science. - : Elsevier. - 1877-0509. ; 225, s. 1415-1424, s. 1415-1424
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Tidskriftsartikel (refereegranskat)abstract
- Due to importance of data FAIRness (Findable, Accessible, Interoperable, Reusable), ontologies as a means to make data FAIR have attracted more and more attention in different communities and are being used in semantically-enabled applications. However, to obtain good results while using ontologies in these applications, high quality ontologies are needed of which completeness is one of the important aspects. An ontology lacking information can lead to missing results. In this paper we present a tool, Phrase2Onto, that supports users in extending ontologies to make the ontologies more complete. It is particularly suited for ontology extension using a phrase-based topic model approach, but the tool can support any extension approach where a user needs to make decisions regarding the appropriateness of using phrases to define new concepts. We describe the functionality of the tool and a user study using Pizza Ontology. The user study showed a good usability of the system and high task completion. Further, we report on a real application where we extend the Materials Design Ontology.
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| 2. |
- Abid, Muhammad Adil, et al.
(författare)
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A Genetic Algorithm for Optimizing Mobile Stroke Unit Deployment
- 2023
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Ingår i: Procedia Computer Science. - : Elsevier. - 1877-0509. ; 225, s. 3536-3545
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Tidskriftsartikel (refereegranskat)abstract
- A mobile stroke unit (MSU) is an advanced ambulance equipped with specialized technology and trained healthcare personnel to provide on-site diagnosis and treatment for stroke patients. Providing efficient access to healthcare (in a viable way) requires optimizing the placement of MSUs. In this study, we propose a time-efficient method based on a genetic algorithm (GA) to find the most suitable ambulance sites for the placement of MSUs (given the number of MSUs and a set of potential sites). We designed an efficient encoding scheme for the input data (the number of MSUs and potential sites) and developed custom selection, crossover, and mutation operators that are tailored according to the characteristics of the MSU allocation problem. We present a case study on the Southern Healthcare Region in Sweden to demonstrate the generality and robustness of our proposed GA method. Particularly, we demonstrate our method's flexibility and adaptability through a series of experiments across multiple settings. For the considered scenario, our proposed method outperforms the exhaustive search method by finding the best locations within 0.16, 1.44, and 10.09 minutes in the deployment of three MSUs, four MSUs, and five MSUs, resulting in 8.75x, 16.36x, and 24.77x faster performance, respectively. Furthermore, we validate the method's robustness by iterating GA multiple times and reporting its average fitness score (performance convergence). In addition, we show the effectiveness of our method by evaluating key hyperparameters, that is, population size, mutation rate, and the number of generations.
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| 3. |
- Abid, Muhammad Adil, et al.
(författare)
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Ambulance Travel Time Estimation using Spatiotemporal Data
- 2024
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Ingår i: Procedia Computer Science. - : Elsevier. - 1877-0509. ; 238, s. 265-272
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Tidskriftsartikel (refereegranskat)abstract
- Ambulance travel time estimations play a pivotal role in ensuring timely and efficient emergency medical care by predicting the duration for an ambulance to reach a specific location. Overlooking factors such as local traffic situations, day of the week, hour of the day, or the weather may create a risk of inaccurately estimating the ambulance travel times, which might lead to delayed emergency response times, potentially impacting patient outcomes. In the current paper, we propose a novel framework for accurately estimating ambulance travel times using machine learning paradigms, employing real-world spatiotemporal ambulance data from the Skane region, Sweden. Our framework includes data preprocessing and feature engineering, with a focus on variables significantly correlated with travel time. First, through a comprehensive exploratory data analysis, we highlight the main characteristics, patterns, and underlying trends of the considered ambulance data set. Then, we present an extensive empirical analysis comparing the performance of different machine learning models across different ambulance travel trip scenarios and feature sets, revealing insights into the importance of each feature in improving the estimation accuracy. Our experiments indicate that the aforementioned factors play a significant role when estimating the travel time.
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| 4. |
- Alam, Mahbub Ul, et al.
(författare)
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Intelligent context-based healthcare metadata aggregator in internet of medical things platform
- 2020
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Ingår i: Procedia Computer Science. - : Elsevier. - 1877-0509. ; 175, s. 411-418
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Tidskriftsartikel (refereegranskat)abstract
- The internet of medical things (IoMT) is relatively new territory for the internet of things (IoT) platforms where we can obtain a significant amount of potential benefits in terms of smart future network computing and intelligent health-care systems. Effective utilization of the health-care data is the key factor here in achieving such potential, which can be a significant challenge as the data is extraordinarily heterogeneous and spread across different devices with different degrees of importance and authority to access it. To address this issue, in this paper, we introduce an intelligent context-based metadata aggregator in the decentralized and distributed edge-based IoMT platform with a use case of early sepsis detection using clinical data. We thoroughly discuss the various aspects of the metadata aggregator and the overall IoMT architecture. Based on the discussion, we posit that the proposed architecture could improve the overall performance and usability in the IoMT platforms in particular for different IoMT based services and applications.
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| 5. |
- Amouzad Mahdiraji, Saeid, et al.
(författare)
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A Framework for Constructing Discrete Event Simulation Models for Emergency Medical Service Policy Analysis
- 2022
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Ingår i: Procedia Computer Science. - : Elsevier BV. - 1877-0509. ; 210, s. 133-140
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Konferensbidrag (refereegranskat)abstract
- Constructing simulation models can be a complex and time-consuming task, in particular if the models are constructed from scratch or if a general-purpose simulation modeling tool is used. In this paper, we propose a model construction framework, which aims to simplify the process of constructing discrete event simulation models for emergency medical service (EMS) policy analysis. The main building blocks used in the framework are a set of general activities that can be used to represent different EMS care chains modeled as flowcharts. The framework allows to build models only by specifying input data, including demographic and statistical data, and providing a care chain of activities and decisions. In a case study, we evaluated the framework by using it to construct a model for the simulation of the EMS activities related to acute stroke. Our evaluation shows that the predefined activities included in the framework are sufficient to build a simulation model for the rather complex case of acute stroke.
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| 6. |
- Amouzad Mahdiraji, Saeid, et al.
(författare)
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A Micro-Level Simulation Model for Analyzing the Use of MSUs in Southern Sweden
- 2021
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Ingår i: Procedia Computer Science : 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2021 / 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2021 - 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2021 / 11th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2021. - : Elsevier BV. ; 198, s. 132-139
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Konferensbidrag (refereegranskat)abstract
- A mobile stroke unit (MSU) is a special type of ambulance, where stroke patients can be diagnosed and provided intravenous treatment, hence allowing to cut down the time to treatment for stroke patients. We present a discrete event simulation (DES) model to study the potential benefits of using MSUs in the southern health care region of Sweden (SHR). We included the activities and actions used in the SHR for stroke patient transportation as events in the DES model, and we generated a synthetic set of stroke patients as input for the simulation model. In a scenario study, we compared two scenarios, including three MSUs each, with the current situation, having only regular ambulances. We also performed a sensitivity analysis to further evaluate the presented DES model. For both MSU scenarios, our simulation results indicate that the average time to treatment is expected to decrease for the whole region and for each municipality of SHR. For example, the average time to treatment in the SHR is reduced from 1.31h in the baseline scenario to 1.20h and 1.23h for the two MSU scenarios. In addition, the share of stroke patients who are expected to receive treatment within one hour is increased by a factor of about 3 for both MSU scenarios.
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| 7. |
- Amouzad Mahdiraji, Saeid, et al.
(författare)
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Simulation-based Analysis of Co-dispatching in Prehospital Stroke Care
- 2024
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Ingår i: Procedia Computer Science. - 1877-0509. ; 238, s. 412-419
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Tidskriftsartikel (refereegranskat)abstract
- A mobile stroke unit (MSU) is a specialized ambulance, enabling to shorten the time to diagnosis and treatment for stroke patients. In the current paper, we present a simulation-based approach to study the potential impacts of collaborative use of regular ambulances and MSUs in prehospital transportation for stroke patients, denoted as co-dispatching. We integrated a co-dispatch policy in an existing modeling framework for constructing emergency medical services simulation models. In a case study, we applied the extended framework to southern Sweden to evaluate the effectiveness of using the co-dispatch policy for different types of stroke. The results indicate reduced time to diagnosis and treatment for stroke patients when using the co-dispatch policy compared to the situation where either a regular ambulance or an MSU is assigned for a stroke incident.
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| 8. |
- Andersson, My, et al.
(författare)
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Improved interaction with collaborative robots - evaluation of event-specific haptic feedback in virtual reality
- 2024
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Ingår i: Procedia Computer Science. - : Elsevier. - 1877-0509. ; 232, s. 1055-1064
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Tidskriftsartikel (refereegranskat)abstract
- Industry 5.0 adopts a human-centric approach that views humans as a natural part of introducing new technology, such as collaborative robots. However, one of the main challenges in implementing collaborative robots is safety, including the sense of safety. Trust is also a primary challenge when establishing functional collaboration. Influencing factors includes experience and expertise, and research shows that Virtual Reality has the potential to perform such training. This research aims to investigate whether using virtual reality with appropriate feedback can be an effective platform for familiarization and training. In our experiment, we utilized haptic feedback from commercial Virtual Reality controllers to simulate physical interactions with collaborative robots. The experiment involved the participation of fifteen individuals. The results showed that participants regarded haptic feedback while moving as the most appropriate representation. This research aims to identify whether Virtual Reality with suitable feedback can serve as a familiarization and training platform.
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| 9. |
- Antonsson, Freddy, et al.
(författare)
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Optimal time for contractors to enter infrastructure projects
- 2021
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Ingår i: Procedia Computer Science. - : Elsevier BV. - 1877-0509. ; 196, s. 990-998
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Konferensbidrag (refereegranskat)abstract
- involvement (ECI) is a project delivery method where the goal is to include construction knowledge into the design phase. This is done by procuring the contractor during the design phase of a project. There are different approaches to which time the contractor is introduced. This research paper aims to investigate the optimal time for contractors to enter infrastructure projects. In order to do this, an empirical study was conducted, where interviews were held with nine representatives from an ongoing ECI project in Sweden. The studied project was procured by the Swedish Transport Administration, and the contractor entered the project at the beginning of the design phase, before a land acquisition plan had been developed. This is the first time in Sweden that a contractor has been procured this early in a road project. The findings from the interviews show that responsibility, understanding, innovation, risk management, relationship-building and implementation are the aspects that have been affected due to ECI. By analyzing and discussing the results, it was concluded that involving the contractor as early as in the studied case has been beneficial, and that involving the contractor as early as possible in infrastructure project is favorable.
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| 10. |
- Azamfirei, Victor, et al.
(författare)
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Lessons from adopting robotic in-line quality inspection in the Swedish manufacturing industry
- 2022
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Ingår i: Procedia Computer Science. - : Elsevier B.V.. - 1877-0509. ; , s. 386-394
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Konferensbidrag (refereegranskat)abstract
- The Zero-Defect Manufacturing (ZDM) movement has received increasing interest from practitioners and academics. However, despite the academic development of the field, the adoption of ZDM enablers such as robotic in-line quality inspection applications has not increased as expected. This article explores the state of adoption of robotic in-line quality inspection at five global Swedish manufacturing companies. Results show that contrary to the case companies' beliefs, more people- and process-oriented challenges have been encountered compared with technological ones. Future work will focus on developing system design guidelines for robotic in-line quality inspection systems in the realm of ZDM.
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