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With the growing volume and complexity of air traffic, air traffic controllers (ATCOs) encounter heavier burden nowadays. Therefore, human factors study in air traffic control (ATC) is increasingly essential, paving the way to a safer air transportation system. In this paper, we conducted an ATC experiment, where Electroencephalogram (EEG) data were collected throughout the experiment. Compared to...
Neuroscience-based or neuroscience-informed design is a new application area of Brain-Computer Interaction (BCI). It takes its roots in study of human well-being in architecture, human factors study in engineering and manufacturing including neuroergonomics. In traditional human factors studies and/or well-being study, mental workload, stress, and emotion are obtained through questionnaires that are...
Electronic systems, like they are embedded in road vehicles, have to be compliant to functional safety standards like ISO 26262 [1], which limit the impacts of malfunctions for safety critical systems. ISO 26262, for instance, defines different safety levels for road vehicles, which require different means and measures for a safety compliant system and its development process like risk analysis and...
The trend Gamification occurred several years ago in the context of digital teaching and training aka e-learning. Looking closer at the development of game-based learning and gamification in computer science, it has to be admitted, that game-based learning seems to have ended in an impasse point where the instructionally smooth integration of learning and gaming has not really been realizable, yet...
Everyone experiences stress in life. Moderate stress can be beneficial to human, however, excessive stress is harmful to the health. To monitor stress, different methods can be used. In this work, an algorithm for stress level recognition from Electroencephalogram (EEG) is proposed. To validate the algorithm, an experiment is designed and carried out with 9 subjects. A Stroop colour-word test is used...
Real-time EEG (Electroencephalogram)-based user's emotion, mental workload and stress monitoring is a new direction in research and development of human-machine interfaces. It has attracted recently more attention from the research community and industry as wireless portable EEG devices became easily available on the market. EEG-based technology has been applied in anesthesiology, psychology, serious...
Today's electronic devices imply significant efforts in pre-silicon low-power design. Key techniques such as scaling of operating points, or switching power off to unused blocks play a major role and are usually managed at entire system scope. Finally, the delay paid in today's design cycles is the time needed for verification, since power-aware design starts late and, hence, relies on painful system-level...
With ever increasing complexity of software and increased competition in the market, it is very important to minimize the production to market delivery time. Early phase detection of serious errors in the design and program can be done with automated approaches which save time. Memory leaks are the most important memory related problems which are severe threats to software applications. We propose...
In this article, we present a virtual platform driven methodology for model-based design of dependable SW targeting cyber-physical systems. Our methodology covers an eight levels spanning flow for smooth refinement of discrete/continuous application models towards the implementation of distributed SW stacks providing flexibility w.r.t. early integration of object/binary code. For this, we propose...
Energy efficiency drives the development of more and more complex low-power designs. Based on dynamic power management techniques, multiple voltage islands as well as a huge amount of power states are specified that have to be tested carefully. In this context, low-power design should start at an early stage using state-of-the-art system-level modeling and simulation techniques. However, there is...
Cyber-physical and embedded systems applications, such as real-time control, are increasingly implemented on SW-intensive architectures. Today, electronic system level design flows [6] for such systems are typically model-based and platform-based, that is, development starts from a specification model of the application which needs to be mapped to a platform of generic and custom intellectual property...
Emerging next-generation sequencing technologies have opened up exciting new opportunities for genome sequencing by generating read data with a massive throughput. However, the generated reads are significantly shorter compared to the traditional Sanger shotgun sequencing method. This poses challenges for de novo assembly algorithms in terms of both accuracy and efficiency. And due to the continuing...
MapReduce is a very popular programming model to support parallel and distributed large-scale data processing. There have been a lot of efforts to implement this model on commodity GPU-based systems. However, most of these implementations can only work on a single GPU. And they can not be used to process large-scale datasets. In this paper, we present a new approach to design the MapReduce framework...
High Level Architecture (HLA) and Functional Mock-up Interface (FMI) are two simulation interoperability standards. The HLA is older, well established and popular in industry. The FMI is a new standard, with plenty of support from the open source community and scientists. In this paper, it is presented how the strengths of both, the HLA and the FMI, can be utilized to realize a distributed hybrid...
Faced with increasing demands on energy efficiency, current electronic systems operate according to complex power management schemes including more and more fine-grained voltage frequency scaling and power shutdown scenarios. Consequently, validation of the power design intent should begin as early as possible at electronic system-level (ESL) together with first executable system specifications for...
Distributed computing offers many advantages for all types of computational applications. Realizing heterogeneous simulation platforms may benefit from many facilities of distributed computing. However, distributing simulation components over a network raises many challenges concerning communications, data exchange, numerical stabilities and others. A well-known solution that addresses some of these...
This article presents the HeroeS virtual platform driven methodology for embedded multi-core and real-time SW design. The methodology's focus is on early integration, testing and performance estimation of heterogeneous SW stacks, i.e., SW components and layers at mixed abstraction levels and/or targeting different instruction sets. We take into account current system-level methodologies such as Transaction...
Virtual platforms are widely applied for embedded software protoyping and analysis. We introduce here an automatic annotation and estimation technique for the dynamic time analysis of embedded software. The annotation technique automatically inserts marks into the software, which can later be identified at assembler code level in order to back-annotate them with timing or power information. Our graph...
This paper proposes a quality driven, simulation based approach to functional design verification, which applies mainly to IP-level HDL designs with well specified test instruction format and is evaluated on a soft microprocessor core MB-LITE [5]. The approach utilizes mutation analysis as the quality metric to steer an automated simulation data generation process. It leads to a simulation flow with...
Nowadays, Dynamic Power Management and Dynamic Voltage (and Frequency) Scaling are well accepted for adjusting the trade-off between the performance and power dissipation. In this article, we investigate the problem of combined application of DPM and DVS in the context of hard real-time systems on cluster-based multi-core processor platforms. We propose a heuristic algorithm based on simulated annealing...
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