| 1. |
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2016 Workshop on Exascale Multi/Many Core Computing Systems (E-MuCoCoS)
- 2016
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Samlingsverk (redaktörskap) (refereegranskat)abstract
- Exascale computing will revolutionize computational science and engineering by providing 1000x the capabilities of currently available computing systems, while having a similar power footprint. The HPC community is working towards the development of the first Exaflop computer after reaching the Petaflop milestone in 2008. There are concerns that computer designs based on existing multi-core and many-core solutions will not scale to Exascale considering technical challenges (such as, productivity, energy consumption or reliability) and reasonable economic constraints. Therefore, novel multi-core and many-core solutions are required to reach Exascale. The E-MuCoCoS workshop series focuses on multi/many core languages, system software and architectural solutions for extreme-scale systems towards Exascale.
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| 2. |
- Aaboen, Lise, 1978, et al.
(författare)
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Exploring the roles of university spin-offs in business networks
- 2016
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Ingår i: Industrial Marketing Management. - : Elsevier BV. - 0019-8501 .- 1873-2062. ; 59, s. 157-166
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Tidskriftsartikel (refereegranskat)abstract
- This paper identifies different university spin-off (USO) roles related to resource interaction among business parties. It does so by mapping how USOs become part of business networks in terms of their roles relative to other parties. The theoretical frame of reference focuses on roles and resource interaction based on an industrial network approach to business markets. The empirical research is based on five cases of USOs representing a variety in terms of technology, degree of newness, sector, and area of application. As a result of the analysis, three different roles are identified: the USO as resource mediator, resource re-combiner and resource renewer. These roles reflect how USOs adapt resources to, or require changes among, business parties' resources. The paper also discusses the main resource interfaces associated with the three roles and related challenges. The paper contributes to previous research through illustrating USOs' roles relative to business parties from a resource interaction point of view, and by pointing to the establishment of new companies in business networks as a way of implementing innovation. Finally, the paper discusses the managerial implications of the research in terms of the USO's need to understand which role to take and how to develop it.
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| 3. |
- Aaboen, Lise, 1978, et al.
(författare)
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Incubator performance : An efficiency frontier analysis
- 2008
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Ingår i: International Journal of Business Innovation and Research. - 1751-0252 .- 1751-0260. ; 2:4, s. 354-380
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Tidskriftsartikel (refereegranskat)abstract
- Assessments and evaluations of incubators has been a topic of discussion for as long as incubators have been in existence due to the fact that there has not been an agreement on how to determine good performance. This paper demonstrates the use of Data Envelopment Analysis (DEA) when studying performance of incubators. More specifically, it does so within the four dimensions of cooperation with universities, business networks, external funding and competence development on a sample of 16 Swedish incubators. We show that DEA enables us to measure non-numerical dimensions, and to simultaneously take into account the efforts made by both the incubator and the outcomes. Moreover, DEA provides benchmarks and, based on a model that divides the incubators into four different groups, illustrates the difference between the benchmark and the incubators' current situation.
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| 4. |
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| 5. |
- Aarthi, Aishwarya Devendran, et al.
(författare)
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Implementation of GIS-AHP Framework for the Identification of Potential Landfill Sites in Bengaluru Metropolitan Region, India
- 2023
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Ingår i: The 9th International Conference on Energy and Environment Research. ICEER 2022.. - : Springer. - 9783031435584 - 9783031435591 ; , s. 809-818
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Konferensbidrag (refereegranskat)abstract
- Uncontrolled open dumping and burning of municipal solid waste (MSW) has resulted in soil, water, and air pollution in many urban cities in India. Landfills are the most common cost-effective solution for MSW management in many developing countries like India. However, the identification of suitable landfill sites always remains a challenging task as it involves the selection of several environmental criteria set by the local authorities. The objective of this study is to identify the most potential landfill sites proposed by the Government in Bengaluru Metropolitan Region, Karnataka state, India using Geographic Information System enabled Analytical Hierarchy Process based multi-criteria evaluation technique. Several criteria and constraints as recommended by the local authorities along with the proximity to the solid waste processing plants are used to identify the potential landfill sites in the study region. The study identified three highly suitable sites (Neraluru, Gudhatti, Madivala) for landfills which are not only environmentally sustainable but also economically attractive as they are closer to the solid waste processing plants minimizing the transportation cost involved in the disposal of solid waste from the source to the final disposal sites in the study region.
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| 6. |
- Abadi, Imam, et al.
(författare)
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Design of Adaptive Neuro-Fuzzy Inference Control Based One-Axis Solar Tracker on Battery Charging System
- 2020
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Ingår i: E3S Web of Conferences. - : EDP Sciences. - 2267-1242. ; , s. 1-15
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Konferensbidrag (refereegranskat)abstract
- The photovoltaic (PV) panel can produce electrical energy that is very environmentally friendly and easy to use. The use of PV panels is suitable for supplying peak loads or at night using batteries as energy storage. However, the battery needs to manage for control, and the battery can last long. The solution to battery management problems is through research about the battery charging system. The DC-DC converter used is the Single Ended Primary Inductance Converter (SEPIC) type. Voltage Control of the battery charging using Adaptive Neuro-Fuzzy Inference System (ANFIS). In the simulation of bright conditions, ANFIS controls can track the charging point set point and obtain a voltage response with a rise time of 0.0028 s, a maximum overshoot of 0.027 %, a peak time of 0.008 s, and a settling time of 0.0193 s. When charging a solar tracker, PV battery gets a 0.25 % increase compared to a fixed PV panel. PV solar tracker can follow the direction of the sun's position. The irradiation value and maximum temperature affect the input voltage and input current that enters the converter.
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| 7. |
- Abadi, Imam, et al.
(författare)
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Performance Study of Maximum Power Point Tracking (MPPT) Based on Type-2 Fuzzy Logic Controller on Active Dual Axis Solar Tracker
- 2020
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Ingår i: E3S Web of Conferences. - : EDP Sciences. - 2267-1242. ; , s. 1-16
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Konferensbidrag (refereegranskat)abstract
- World energy consumption increases with time, so that occur an energy imbalance. Many breakthroughs have developed to utilize renewable energy. The photovoltaic system is one of the easy-to-use renewable energies. The power conversion from PV fixed is still low, so the PV system is designed using the active dual-axis solar tracker. The PV tracker position can be adjusted to change the sun position to get maximum efficiency. The active dual-axis solar tracker system is integrated with the maximum power point tracking (MPPT) algorithm to keep PV operating at a maximum power point even though input variations change. The active dual-axis solar tracker system integrated with the maximum power point tracking (MPPT) algorithm to keep PV operating at a maximum power point even though input variations change. Tracking test simulation had done by comparing the output power of a fixed PV system with the active dual-axis solar tracker. Type-2 fuzzy logic based MPPT successfully increased the average output power by 10.48 % with the highest increase of 17.48 % obtained at 15:00 West Indonesia Time (GMT+7). The difference in power from a fixed PV system with the active dual-axis solar tracker of 36.08 W is from the output power worth 206.3 to 242.4 W.
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| 8. |
- Abbaneo, Chiara, et al.
(författare)
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UML based reverse engineering for the verification of railway control logics
- 2007
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Ingår i: Proceedings of International Conference on Dependability of Computer Systems, DepCoS-RELCOMEX 2006. - : IEEE. - 0769525652 - 9780769525655 ; , s. 3-10
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Konferensbidrag (refereegranskat)abstract
- The Unified Modeling Language (UML) is widely used as a high level object oriented specification language. In this paper we present a novel approach in which reverse engineering is performed using UML as the modelling language used to achieve a representation of the implemented system. The target is the core logic of a complex critical railway control system, which was written in an application specific legacy language. UML perfectly suited to represent the nature of the core logic, made up by concurrent and interacting processes, using a bottom-up approach and proper modeling rules. Each process, in fact, was strictly related to the management of a physically (resp. logically) well distinguished railway device (resp. functionality). The obtained model deeply facilitated the static analysis of the logic code, allowing for at a glance verification of correctness and compliance with higher-level specifications, and opened the way to refactoring and other formal analyses. © 2006 IEEE.
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| 9. |
- Abbas, Nada, et al.
(författare)
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Information Needs of Gravel Road Stakeholders
- 2022
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Ingår i: Infrastructures. - : MDPI. - 2412-3811. ; 7:12
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Tidskriftsartikel (refereegranskat)abstract
- Within any ecosystem, information sharing is essential. In this paper, the Swedish gravel road ecosystem is studied, where information plays a crucial role for the effective management of operations and maintenance. However, efficient information sharing is not enabled due to the lack of appropriate information systems. For addressing this issue, this paper intends to elicit information needs of gravel road stakeholders to support the design of a cloud-based information system. The main purpose is to explore the information needs of stakeholders within the Swedish gravel road ecosystem. Data were collected through in-depth semi-structured interviews with 11 participants representing key stakeholders in the ecosystem. Template analysis was used for analyzing the interview results. The major findings were a set of information needs covering road identification and condition, weather conditions, accessibility and traffic, maintenance policy, and sensor data. The results form a comprehensive information model for the further development of a cloud-based gravel road management system that would contribute to increased traffic safety and comfort, lower maintenance and management costs, and better decision-making abilities.
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| 10. |
- Abdeljaber, Osama, et al.
(författare)
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1-D CNNs for structural damage detection : verification on a structural health monitoring benchmark data
- 2018
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Ingår i: Neurocomputing. - : Elsevier. - 0925-2312 .- 1872-8286. ; 275, s. 1308-1317
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Tidskriftsartikel (refereegranskat)abstract
- Structural damage detection has been an interdisciplinary area of interest for various engineering fields. While the available damage detection methods have been in the process of adapting machine learning concepts, most machine learning based methods extract “hand-crafted” features which are fixed and manually selected in advance. Their performance varies significantly among various patterns of data depending on the particular structure under analysis. Convolutional neural networks (CNNs), on the other hand, can fuse and simultaneously optimize two major sets of an assessment task (feature extraction and classification) into a single learning block during the training phase. This ability not only provides an improved classification performance but also yields a superior computational efficiency. 1D CNNs have recently achieved state-of-the-art performance in vibration-based structural damage detection; however, it has been reported that the training of the CNNs requires significant amount of measurements especially in large structures. In order to overcome this limitation, this paper presents an enhanced CNN-based approach that requires only two measurement sets regardless of the size of the structure. This approach is verified using the experimental data of the Phase II benchmark problem of structural health monitoring which had been introduced by IASC-ASCE Structural Health Monitoring Task Group. As a result, it is shown that the enhanced CNN-based approach successfully estimated the actual amount of damage for the nine damage scenarios of the benchmark study.
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