| 21. |
- Abghari, Shahrooz, et al.
(författare)
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District Heating Substation Behaviour Modelling for Annotating the Performance
- 2020
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Ingår i: Communications in Computer and Information Science. - Cham : Springer. - 9783030438869 ; , s. 3-11
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Konferensbidrag (refereegranskat)abstract
- In this ongoing study, we propose a higher order data mining approach for modelling district heating (DH) substations’ behaviour and linking operational behaviour representative profiles with different performance indicators. We initially create substation’s operational behaviour models by extracting weekly patterns and clustering them into groups of similar patterns. The built models are further analyzed and integrated into an overall substation model by applying consensus clustering. The different operational behaviour profiles represented by the exemplars of the consensus clustering model are then linked to performance indicators. The labelled behaviour profiles are deployed over the whole heating season to derive diverse insights about the substation’s performance. The results show that the proposed method can be used for modelling, analyzing and understanding the deviating and sub-optimal DH substation’s behaviours. © 2020, Springer Nature Switzerland AG.
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| 22. |
- Abghari, Shahrooz, et al.
(författare)
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Higher order mining for monitoring district heating substations
- 2019
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Ingår i: Proceedings - 2019 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2019. - : Institute of Electrical and Electronics Engineers (IEEE). - 9781728144931 ; , s. 382-391
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Konferensbidrag (refereegranskat)abstract
- We propose a higher order mining (HOM) approach for modelling, monitoring and analyzing district heating (DH) substations' operational behaviour and performance. HOM is concerned with mining over patterns rather than primary or raw data. The proposed approach uses a combination of different data analysis techniques such as sequential pattern mining, clustering analysis, consensus clustering and minimum spanning tree (MST). Initially, a substation's operational behaviour is modeled by extracting weekly patterns and performing clustering analysis. The substation's performance is monitored by assessing its modeled behaviour for every two consecutive weeks. In case some significant difference is observed, further analysis is performed by integrating the built models into a consensus clustering and applying an MST for identifying deviating behaviours. The results of the study show that our method is robust for detecting deviating and sub-optimal behaviours of DH substations. In addition, the proposed method can facilitate domain experts in the interpretation and understanding of the substations' behaviour and performance by providing different data analysis and visualization techniques.
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| 23. |
- Abghari, Shahrooz, et al.
(författare)
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Multi-view Clustering Analyses for District Heating Substations
- 2020
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Ingår i: DATA 2020 - Proceedings of the 9th International Conference on Data Science, Technology and Applications2020. - : SciTePress. ; , s. 158-168
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Konferensbidrag (refereegranskat)abstract
- In this study, we propose a multi-view clustering approach for mining and analysing multi-view network datasets. The proposed approach is applied and evaluated on a real-world scenario for monitoring and analysing district heating (DH) network conditions and identifying substations with sub-optimal behaviour. Initially, geographical locations of the substations are used to build an approximate graph representation of the DH network. Two different analyses can further be applied in this context: step-wise and parallel-wise multi-view clustering. The step-wise analysis is meant to sequentially consider and analyse substations with respect to a few different views. At each step, a new clustering solution is built on top of the one generated by the previously considered view, which organizes the substations in a hierarchical structure that can be used for multi-view comparisons. The parallel-wise analysis on the other hand, provides the opportunity to analyse substations with regards to two different views in parallel. Such analysis is aimed to represent and identify the relationships between substations by organizing them in a bipartite graph and analysing the substations’ distribution with respect to each view. The proposed data analysis and visualization approach arms domain experts with means for analysing DH network performance. In addition, it will facilitate the identification of substations with deviating operational behaviour based on comparative analysis with their closely located neighbours.
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| 24. |
- Abghari, Shahrooz, et al.
(författare)
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Outlier Detection for Video Session Data Using Sequential Pattern Mining
- 2018
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Ingår i: ACM SIGKDD Workshop On Outlier Detection De-constructed.
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Konferensbidrag (refereegranskat)abstract
- The growth of Internet video and over-the-top transmission techniqueshas enabled online video service providers to deliver highquality video content to viewers. To maintain and improve thequality of experience, video providers need to detect unexpectedissues that can highly affect the viewers’ experience. This requiresanalyzing massive amounts of video session data in order to findunexpected sequences of events. In this paper we combine sequentialpattern mining and clustering to discover such event sequences.The proposed approach applies sequential pattern mining to findfrequent patterns by considering contextual and collective outliers.In order to distinguish between the normal and abnormal behaviorof the system, we initially identify the most frequent patterns. Thena clustering algorithm is applied on the most frequent patterns.The generated clustering model together with Silhouette Index areused for further analysis of less frequent patterns and detectionof potential outliers. Our results show that the proposed approachcan detect outliers at the system level.
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| 25. |
- Abghari, Shahrooz, et al.
(författare)
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Trend analysis to automatically identify heat program changes
- 2017
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Ingår i: Energy Procedia. - : Elsevier. ; , s. 407-415
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Konferensbidrag (refereegranskat)abstract
- The aim of this study is to improve the monitoring and controlling of heating systems located at customer buildings through the use of a decision support system. To achieve this, the proposed system applies a two-step classifier to detect manual changes of the temperature of the heating system. We apply data from the Swedish company NODA, active in energy optimization and services for energy efficiency, to train and test the suggested system. The decision support system is evaluated through an experiment and the results are validated by experts at NODA. The results show that the decision support system can detect changes within three days after their occurrence and only by considering daily average measurements.
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| 26. |
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| 27. |
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| 28. |
- Abualhaija, Sallam, et al.
(författare)
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Replication in Requirements Engineering : The NLP for RE Case
- 2024
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Ingår i: ACM Transactions on Software Engineering and Methodology. - : Association for Computing Machinery (ACM). - 1049-331X .- 1557-7392. ; 33:6
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Tidskriftsartikel (refereegranskat)abstract
- Natural language processing (NLP) techniques have been widely applied in the requirements engineering (RE) field to support tasks such as classification and ambiguity detection. Despite its empirical vocation, RE research has given limited attention to replication of NLP for RE studies. Replication is hampered by several factors, including the context specificity of the studies, the heterogeneity of the tasks involving NLP, the tasks’ inherent hairiness, and, in turn, the heterogeneous reporting structure. To address these issues, we propose a new artifact, referred to as ID-Card, whose goal is to provide a structured summary of research papers emphasizing replication-relevant information. We construct the ID-Card through a structured, iterative process based on design science. In this article: (i) we report on hands-on experiences of replication; (ii) we review the state-of-the-art and extract replication-relevant information: (iii) we identify, through focus groups, challenges across two typical dimensions of replication: data annotation and tool reconstruction; and (iv) we present the concept and structure of the ID-Card to mitigate the identified challenges. This study aims to create awareness of replication in NLP for RE. We propose an ID-Card that is intended to foster study replication but can also be used in other contexts, e.g., for educational purposes. © 2024 Copyright held by the owner/author(s).
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| 29. |
- Aceijas, Carmen, et al.
(författare)
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Teaching Ethics in Schools of Public Health in the European Region : Findings from a Screening Survey
- 2012
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Ingår i: Public Health Reviews. - : Public Health Reviews. - 0301-0422 .- 2107-6952. ; 34:1, s. 1-10
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Tidskriftsartikel (refereegranskat)abstract
- A survey targeting ASPHER members was launched in 2010/11, being a first initiative in improving ethics education in European Schools of Public Health. An 8-items questionnaire collected information on teaching of ethics in public health. A 52% response rate (43/82) revealed that almost all of the schools (95% out of 40 respondents with valid data) included the teaching of ethics in at least one of its programmes. They also expressed the need of support, (e.g.: a model curriculum (n=25), case studies (n=24)), which indicates further work to be met by the ASPHER Working Group on Ethics and Values in Public Health.
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| 30. |
- Acevedo, Carlos
(författare)
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Developing Inclusive Innovation Processes and Co-Evolutionary University-Society Approaches in Bolivia
- 2018
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- This study is part of a worldwide debate on inclusive innovation systems in developingcountries and particularly on the co-evolutionary processes taking place, seen from theperspective of a public university. The increasing literature that discusses how innovationsystems and development can foster more inclusive and sustainable societies hasinspired this thesis work. Thus, the main problem handled in the research concerns thequestion how socially sensitive research practices and policies at a public university inBolivia can be stimulated within emerging innovation system dynamics. In that vein,empirical knowledge is developed at the Universidad Mayor de San SimoÅLn (UMSS),Cochabamba as a contribution to experience-based learning in the field. Analysis arenourished by a dialogue with the work of prominent Latin American scholars andpractitioners around the idea of a developmental university and the democratizationof knowledge. The reader will be able to recognize a recursive transit between theoryand practice, where a number of relevant concepts are contextualized and connectedin order to enable keys of critical interpretation and paths of practices amplificationfor social inclusion purposes established. The study shows how, based on a previousexperience, new competences and capacities for the Technology Transfer Unit (UTT)at UMSS were produced, in this case transforming itself into a University InnovationCentre. Main lessons gained in that experience came from two pilot cluster development(food and leather sectors) and a multidisciplinary researchers network (UMSSInnovation Team) where insights found can improve future collaborative relations betweenuniversity and society for inclusive innovation processes within the Boliviancontext.
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