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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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Kroep, H. J.C. (author), Gokhale, V. (author), Venkatesha Prasad, Ranga Rao (author)
Tactile Internet (TI) enables the transfer of human skills over the Internet, enabling teleoperation with force feed-back. Advancements are being made rapidly at several fronts to realize a functional TI soon. Generally, TI is expected to faithfully reproduce operator's actions at the other end, where a robotic arm emulates it while providing...
conference paper 2022
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Cardoso Medeiros, G. (author), Fieback, M. (author), Gebregiorgis, A.B. (author), Taouil, M. (author), Poehls, L. B. (author), Hamdioui, S. (author)
High-quality memory diagnosis methodologies are critical enablers for scaled memory devices as they reduce time to market and provide valuable information regarding test escapes and customer returns. This paper presents an efficient Hierarchical Memory Diagnosis (HMD) approach that accurately diagnoses faults in the entire memory. Faults are...
conference paper 2022
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Xu, Jingyi (author), Li, Z. (author), Gao, Li (author), Ma, Junyi (author), Liu, Qi (author), Zhao, Yanan (author)
The deep reinforcement learning-based energy management strategies (EMS) have become a promising solution for hybrid electric vehicles (HEVs). When driving cycles are changed, the neural network will be retrained, which is a time-consuming and laborious task. A more efficient way of choosing EMS is to combine deep reinforcement learning (DRL)...
conference paper 2022
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Muench, C. (author), Bijelic, Mario (author), Gavrila, D. (author)
We show how to design a motion prediction algorithm that works with 3D object detections and map locations. In particular, we obtain object id’s – even though the training data does not contain any object id’s – across multiple time-steps into the future by propagating a Gaussian Mixture of likely object (e.g., vehicle) locations through time.We...
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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Zhu, C. (author), Klapwijk, R.M. (author)
Spatial thinking is embedded in science, technology, engineering, arts, and mathematics (STEAM) learning. Design and Technology education inherently encompasses a wide range of spatial activities, such as mentally transforming objects and materials to form representations of design ideas, visually communicating ideas, and creating 2D and 3D...
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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Aldea, Anna (author), Tinga, Angelica M. (author), van Zeumeren, I.M. (author), van Nes, C.N. (author), Aschenbrenner, D. (author)
Higher levels of vehicle automation come with new challenges for designing safe systems. The Human Machine-Interface (HMI) plays a key role in mediating the interaction between the human driver and vehicle automation. By providing the driver with appropriate feedback, the HMI has the potential to increase mode awareness and situational...
conference paper 2022
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Ghiette, V.D.H. (author), Dörr, C. (author)
Over the past decade, the scanning landscape has significantly changed. Powerful tools such as Masscan or Zmap allow anyone to scan the entire Internet in a matter of hours. Simultaneously, we witnessed the emergence of stealthy scanners, which map the Internet from thousands of vantage points at a low rate attempting to forego detection. As...
conference paper 2022
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Dutta, Shamak (author), Wilde, N. (author), Smith, Stephen L. (author)
In this paper, we consider a subset selection problem in a spatial field where we seek to find a set of k locations whose observations provide the best estimate of the field value at a finite set of prediction locations. The measurements can be taken at any location in the continuous field, and the covariance between the field values at...
conference paper 2022
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Oostenbrink, J. (author), Kuipers, F.A. (author)
In this paper, we study the risk of earthquakes to global Internet infrastructure, namely Internet eXchange Point (IXP) facilities. Leveraging the CAIDA IXPs dataset and publicly available earthquake models and hazard computation tools, we find that more than 50% of the facilities have at least a 2% probability of experiencing potentially...
conference paper 2022
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Barzen, Johanna (author), Leymann, Frank (author), Feld, S. (author), Wimmer, Manuel (author)
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
conference paper 2022
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Phusakulkajorn, W. (author), Hendriks, J.M. (author), Moraal, J. (author), Dollevoet, R.P.B.J. (author), Li, Z. (author), Nunez, Alfredo (author)
In this paper, a fuzzy interval-based method is proposed for solving the problem of rail defect detection relying on an on-board measurement system and a multiple spiking neural network architecture. Instead of outputting binary values (defect or not defect), all data will belong to both classes with different spreads that are given by two fuzzy...
conference paper 2022
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Gradl, P.R. (author), Cervone, A. (author), Colonna, Piero (author)
Heat exchangers for use in propulsion applications are very critical components because they must be efficient, compact and light and often operate with working fluids at extreme temperatures or pressures or both. Various components and systems use heat exchangers such as combustion chambers of gas turbines and internal combustion engines, fuel...
conference paper 2022
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Bueno Lopez, J. (author), Huiskes, M. (author), Zhang, H. (author), Sberna, P.M. (author), Llombart, Nuria (author), Neto, A. (author)
Photoconductive antennas are devices that provide power up to THz frequencies at a relatively low cost. However, the power radiated by each antenna is typically quite low and arrays have been proposed to increase it. In this paper we present the design of a leaky enhanced array architecture that surpasses the state of the art as it operates...
conference paper 2022
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Nair, A. (author), Dabironezare, Shahab Oddin (author), Neto, A. (author), Llombart, Nuria (author)
Future applications in sensing and communications at (sub)-millimetre wavelengths will benefit from having large integrated coherent arrays. The use of lens arrays will enable the fabrication of integrated antenna front-ends with many potential independent beams as well as dynamic scanning capabilities. For applications such as MIMO...
conference paper 2022
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Beschoor Plug, N.E. (author), Dabironezare, Shahab Oddin (author), Llombart, Nuria (author)
This paper presents a comparative study of different Multiple Input Multiple Output (MIMO) array architectures to realize high-capacity Point-to-Point (PtP) wireless links for potential use in future 6G backhauling applications. This study focuses on the 220-320 GHz band, defined by the new IEEE 802.15.3d standard. Both phased array and focal...
conference paper 2022
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Aslan, Y. (author)
Optimal design of uniformly-fed aperiodic millimeter-wave phased array topologies for site-specific and quasi interference-free operation is presented. Several use cases with different number of line-of-sight cells in the close vicinity of the base station, and for various widths and shapes of the cells, are analyzed. The arrays are synthesized...
conference paper 2022
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Basu, S. (author)
Recently, Basu and Holstlag (2021) proposed a unified framework for describing outer length scales (OLS). By utilizing this framework, we document various characteristics of OLS in nocturnal boundary layers over the US Great Plains.
conference paper 2022
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