Searched for: contributor%3A%22O%27Conner%2C+L.+%28editor%29%22
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Nasrulin, B. (author), de Vos, M.A. (author), Ishmaev, G. (author), Pouwelse, J.A. (author)
The growing number of implementations of blockchain systems stands in stark contrast with still limited research on a systematic comparison of performance characteristics of these solutions. Such research is crucial for evaluating fundamental trade-offs introduced by novel consensus protocols and their implementations. These performance...
conference paper 2022
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Fan, Jiajie (author), Qian, Yichen (author), Chen, Wei (author), Jiang, Jing (author), Tang, Zhuorui (author), Fan, Xuejun (author), Zhang, Kouchi (author)
A fan-out panel-level packaging (FOPLP) with an embedded redistribution layer (RDL) via interconnection reduces the size, thermal resistance, and parasitic inductance of power module packaging. In this study, the effect of the RDL via size on the reliability of a FOPLP SiC MOSFET power module was investigated. To improve the thermal management...
conference paper 2022
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Cui, Z. (author), Fan, X. (author), Zhang, Kouchi (author)
In this paper, a 3D and fully coupled electromigration modeling is implemented using COMSOL. The fully coupled multi-physics theory has a unique set of partial differential equations, which cannot be directly simulated with the standard finite element software such as ABAQUS and ANSYS. With the weak form PDE modulus in COMSOL, the weak form of...
conference paper 2022
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Lin, Y. (author), Wiersma, R.T. (author), Pintea, S. (author), Hildebrandt, K.A. (author), Eisemann, E. (author), van Gemert, J.C. (author)
Deep learning has improved vanishing point detection in images. Yet, deep networks require expensive annotated datasets trained on costly hardware and do not generalize to even slightly different domains, and minor problem variants. Here, we address these issues by injecting deep vanishing point detection networks with prior knowledge. This...
conference paper 2022
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Park, Seongyeon (author), Kim, Hajin (author), Ahmad, T. (author), Ahmed, N. (author), Al-Ars, Z. (author), Hofstee, H.P. (author), Kim, Youngsok (author), Lee, Jinho (author)
Sequence alignment forms an important backbone in many sequencing applications. A commonly used strategy for sequence alignment is an approximate string matching with a two-dimensional dynamic programming approach. Although some prior work has been conducted on GPU acceleration of a sequence alignment, we identify several shortcomings that limit...
conference paper 2022
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Lan, G. (author), Scargill, Tim (author), Gorlatova, Maria (author)
Recent advances in eye tracking have given birth to a new genre of gaze-based context sensing applications, ranging from cognitive load estimation to emotion recognition. To achieve state-of-the-art recognition accuracy, a large-scale, labeled eye movement dataset is needed to train deep learning-based classifiers. However, due to the...
conference paper 2022
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Scargill, Tim (author), Lan, G. (author), Gorlatova, Maria (author)
The personalization of augmented reality (AR) experiences based on environmental and user context is key to unlocking their full potential. The recent addition of eye tracking to AR headsets provides a convenient method for detecting user context, but complex analysis of raw gaze data is required to detect where a user's attention and thoughts...
conference paper 2022
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Abrahamse, Robin (author), Hadnagy, A. (author), Al-Ars, Z. (author)
The concept of memory disaggregation has recently been gaining traction in research. With memory disaggregation, data center compute nodes can directly access memory on adjacent nodes and are therefore able to overcome local memory restrictions, introducing a new data management paradigm for distributed computing. This paper proposes and...
conference paper 2022
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Vieth, A. (author), Vilanova, A. (author), Lelieveldt, B.P.F. (author), Eisemann, E. (author), Höllt, T. (author)
High-dimensional imaging is becoming increasingly relevant in many fields from astronomy and cultural heritage to systems biology. Visual exploration of such high-dimensional data is commonly facilitated by dimensionality reduction. However, common dimensionality reduction methods do not include spatial information present in images, such as...
conference paper 2022
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Uta, Alexandru (author), Ghit, Bogdan (author), Dave, Ankur (author), Rellermeyer, Jan S. (author), Boncz, Peter (author)
Powerful abstractions such as dataframes are only as efficient as their underlying runtime system. The de-facto distributed data processing framework, Apache Spark, is poorly suited for the modern cloud-based data-science workloads due to its outdated assumptions: static datasets analyzed using coarse-grained transformations. In this paper, we...
conference paper 2022
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Wang, Xinyue (author), Zeng, Zejun (author), Zhang, Jing (author), Zhang, Kouchi (author), Liu, Pan (author)
With the increasing application of wide bandgap materials such as silicon carbide and gallium nitride in power devices, the working temperature of power devices has been pushed further. Therefore, it brings higher requirements for packaging materials. Sintered silver is a widely accepted chip connection material. However, silver suffers from...
conference paper 2022
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Ionescu, A. (author), Hai, R. (author), Fragkoulis, M. (author), Katsifodimos, A (author)
Machine Learning (ML) applications require high-quality datasets. Automated data augmentation techniques can help increase the richness of training data, thus increasing the ML model accuracy. Existing solutions focus on efficiency and ML model accuracy but do not exploit the richness of dataset relationships. With relational data, the challenge...
conference paper 2022
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Verheijde, Jim (author), Karakoidas, Vassilios (author), Fragkoulis, M. (author), Katsifodimos, A (author)
Distributed streaming dataflow systems have evolved into scalable and fault-tolerant production-grade systems. Their applicability has departed from the mere analysis of streaming windows and complex-event processing, and now includes cloud applications and machine learning inference. Although the advancements in the state management of...
conference paper 2022
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Vogl, Sebastian (author), Schweikl, Sebastian (author), Fraser, Gordon (author), Arcuri, Andrea (author), Campos, José (author), Panichella, A. (author)
EvoSuite is a search-based unit test generation tool for Java. This paper summarises the results and experiences of EvoSuite's participation at the ninth unit testing competition at SBST 2021, where EvoSuite achieved the highest overall score.
conference paper 2021
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Lengyel, A. (author), Garg, Sourav (author), Milford, Michael (author), van Gemert, J.C. (author)
We explore the zero-shot setting for day-night domain adaptation. The traditional domain adaptation setting is to train on one domain and adapt to the target domain by exploiting unlabeled data samples from the test set. As gathering relevant test data is expensive and sometimes even impossible, we remove any reliance on test data imagery and...
conference paper 2021
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Aumayr, Lukas (author), Maffei, Matteo (author), Ersoy, O. (author), Erwig, Andreas (author), Faust, Sebastian (author), Riahi, Siavash (author), Hostáková, Kristina (author), Moreno-Sanchez, Pedro (author)
Current permissionless cryptocurrencies such as Bitcoin suffer from a limited transaction rate and slow confirmation time, which hinders further adoption. Payment channels are one of the most promising solutions to address these problems, as they allow the parties of the channel to perform arbitrarily many payments in a peer-to-peer fashion...
conference paper 2021
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Mir, S.A.M. (author), Latoskinas, Evaldas (author), Gousios, G. (author)
In this paper, we present ManyTypes4Py, a large Python dataset for machine learning (ML)-based type inference. The dataset contains a total of 5, 382 Python projects with more than 869K type annotations. Duplicate source code files were removed to eliminate the negative effect of the duplication bias. To facilitate training and evaluation of...
conference paper 2021
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Barros Cândido, J. (author), Haesen, Jan (author), Aniche, Maurício (author), van Deursen, A. (author)
Logging is a development practice that plays an important role in the operations and monitoring of complex systems. Developers place log statements in the source code and use log data to understand how the system behaves in production. Unfortunately, anticipating where to log during development is challenging. Previous studies show the...
conference paper 2021
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Ungureanu, Oana-Mihaela (author), Vlădeanu, Călin (author), Kooij, Robert (author)
As the edge computing era matures, it encompasses a broader range of applications that will be able to opportunistically use both the edge and the cloud mainly determined by the location constraints or the mission-critical reasons. Moreover, the convergence of verticals with the next generation mobile network will lead to an imminent edge-cloud...
conference paper 2021
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Ersoy, O. (author), Genç, Ziya Alper (author), Erkin, Z. (author), Conti, M. (author)
Smart contracts can be used for the fair exchange of digital goods. A smart contract can escrow the exchange where the receiver deposits the payment, and the sender claims it by providing the goods. In the case of misbehavior, the parties provide proof on whether the received goods match the pre-agreed description or not. In general, the...
conference paper 2021
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