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Massive Open Online Courses (MOOCs) focus on manifold subjects, ranging from social sciences over languages to technical skills, and use different means to train the respective skills. MOOCs that are teaching programming skills aim to incorporate practical exercises into the course corpus to give students the hands-on experience necessary for understanding and mastering programming. These exercises,...
Research objects were designed in data-intensive science under the premises of interoperability and machine-readability to describe scientific processes and findings including all the resources that were used in the research endeavour. In this poster we present our work with Earth Science communities, that have embraced the research object model for long-term preservation and reuse of knowledge, to...
To satisfy requirements from various applications in the smart grid, transmitting data robustly and reliably has become one of the most crucial tasks. However, existing routing protocols like CTP, LEACH, HWMP cannot be directly applied to the smart grid system. In this paper, we propose RH-HWMP, which provides robust data transmission for the neighbor area network (NAN) in the smart grid. The main...
Recent simulation results have shown that serial concatenation with outer codes such as cyclic redundancy check (CRC) or parity check (PC) codes can boost the error correcting performance of polar codes. A theoretical analysis for further explaining where the performance gain comes from is in order. In this paper, we try to provide such an analysis for concatenated polar codes from the distance spectrum...
Feature ranking from video-wide temporal evolution brings reliable information for complex action recognition. However, a video may contain similar features in the sequence of frames which deliver unnecessary information to the ranking function. This paper proposes a method to improve the rank-pooling strategy which captures the optimized latent structure of the video sequence data. The optimization...
Machine learning has become one of the go-to methods for solving problems in the field of networking. This development is driven by data availability in large-scale networks and the commodification of machine learning frameworks. While this makes it easier for researchers to implement and deploy machine learning solutions on networks quickly, there are a number of vital factors to account for when...
This paper identifies a small, essential set of static software code metrics linked to the software product quality characteristics of reliability and maintainability and to the most commonly identified sources of technical debt. A plug-in is created for the Understand code visualization and static analysis tool that calculates and aggregates the metrics. The plug-in produces a high-level interactive...
This paper addresses the problem of how to estimate performance of distributed IEC 61499 automation systems and optionally, how to improve end-to-end response times in general. In order to make the process of distributed automation system design and deployment more streamlined, a software tool which could reliably estimate end-to-end response times within a system offline would be very beneficial...
In this paper, we investigate the provision of a new form of resilience, namely information resilience - targeting reliable communication of information under normal and adverse network conditions. We harness the power and flexibility of information-centric networking (ICN) paradigm where content are named and can be explicitly identified as opposed to the current host-centric Internet. Using ICN...
This paper reveals that the standard test procedures for the qualification and verification of traction battery systems are not sufficient in certain cases. In fact, realistic and application-oriented tests on the interaction among the complex battery subsystems are inevitable. To achieve these objectives, a high-performance test bench with the unique selling features of a high voltage/- and current...
A novel approach of a test environment for embedded networking nodes has been conceptualized and implemented. Its basis is the use of virtual nodes in a PC environment, where each node executes the original embedded code. Different nodes run in parallel, connected via so-called virtual channels. The environment allows to modifying the behavior of the virtual channels as well as the overall topology...
Today, performing life tests on power semiconductor devices is of major importance in industrial and automotive power applications. Traditionally, qualification tests, like the HTOL test, are carried out in a semi-automated manner. This paper first reviews different test methods and a recently proposed modular test system (MTS) that allows testing of individual devices as well as application specific...
The Internet of Things (IoT) is a fast-growing movement turning devices into always-connected smart devices through the use of communication technologies. This facilitates the creation of smart strategies allowing monitoring and optimization as well as many other new use cases for various sectors. Low Power Wide Area Networks (LPWANs) have enormous potential as they are suited for various IoT applications...
In this paper a log-MAP turbo decoding algorithm which incorporates reliability threshold based trellis branch elimination together with mean based early iteration termination has been proposed. The proposed algorithm reduces computational complexity by eliminating branches in trellis. Since the minimum Log Likelihood Ratio (LLR) obtained for each iteration varies with channel conditions, an early...
Microgrid (p, g) is the present buzzword in the power industry with the new approach that it provides the grid operators to operate the grid. The unexpected weather events, increased electricity needs and potential threat to the cyber-security of the grid have raised several questions over the reliability of the grid with μ,gs turning out to be the pragmatic solution to improve reliability. In this...
Since its definition, RPL (the IPv6 Routing Protocol for Low-Power and Lossy Networks) has been emerging as the standard protocol for routing in Internet of Things (IoT) solutions. RPL is a proactive routing protocol that performs the process of route creation based on Objective Functions (OFs). The OFs are responsible for defining rules and constraints to select the best paths considering different...
Brain functional connectivity measured by functional magnetic resonance imaging was shown to be influenced by preprocessing procedures. We aim to describe this influence separately for different preprocessing factors and in 20 different most used preprocessing pipelines. We evaluate the effects of slice-timing correction and physiological noise filtering by RETROICOR, diverse levels of motion correction,...
Multiple indices are available for measuring the performance of closed-loop systems, some of which are explored in the seminal work of Graham & Lathrop in 1953. In their paper, a determination is made of closed-loop transfer functions for optimal performance relative to the non-standard performance indices ITSE and ISTSE. A new approach is presented to calculate such metrics using Lyapunov matrix...
General Purpose computing on Graphics Processing Unit offers a remarkable speedup for data parallel workloads, leveraging GPUs computational power. However, differently from graphic computing, it requires highly reliable operation in several application domains. In this paper we present SIFI a reliability evaluation framework for soft-errors on AMD GPUs built on top of Multi2Sim, a micro-architectural...
Technology scaling trends led to an aggressive increase of SRAM cell sensitivity to process variation. More accurate and non-invasive methodologies must be considered to provide detailed bit-cell characterization focusing on writability margin. This work proposes a new metric using regular read/write operations based on the estimation of the maximum word-line voltage drop during write operations....
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