Johann Glaser

Johann Glaser

DI Mag. Dr.

About

14
Publications
3,477
Reads
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205
Citations
Additional affiliations
June 2005 - May 2013
TU Wien
Position
  • Project Assistant

Publications

Publications (14)
Article
Low power consumption or high execution speed is achieved by making an application specific design. However, today's systems also require flexibility in order to allow running similar or updated applications (e.g. due to changing standards). Finding a good trade-off between reconfigurability and performance is a challenge.This work presents a desig...
Article
Full-text available
In concurrent EEG/fMRI recordings, EEG data are impaired by the fMRI gradient artifacts which exceed the EEG signal by several orders of magnitude. While several algorithms exist to correct the EEG data, these algorithms lack the flexibility to either leave out or add new steps. The here presented open-source MATLAB toolbox FACET is a modular toolb...
Conference Paper
Full-text available
Low power consumption or high execution speed is achieved by making an application specific design. However, today's systems also require flexibility in order to allow running similar or updated applications (e.g. due to changing standards). Finding a good trade-off between reconfigurability and performance is a challenge. This paper presents a too...
Article
Full-text available
Finite State Machines (FSMs) are a key element of integrated circuits. Hard-coded FSMs do not allow changes after the ASIC production. While an embedded FPGA IP core provides flexibility, it is a complex circuit, requires difficult synthesis tools, and is expensive. This article presents and evaluates a novel architecture that is specifically optim...
Conference Paper
Full-text available
For ultra-low-power sensor networks, finite state machines are used for simple tasks where the system’s microprocessor would be overqualified. This allows the microprocessor to remain in a sleep state, thus saving energy. This paper presents a new architecture that is specifically optimized for implementing reconfigurable Finite State Machines: Tra...
Conference Paper
In wireless sensor network nodes all tasks are controlled and scheduled by the CPU of the node. It is activated repeatedly from its low-power sleep mode for e.g., measurements and communications tasks. The periodic wake-ups cause a high overhead in power consumption. This problem can be solved by supplementing the CPU with additional modules which...
Conference Paper
Full-text available
Networks consisting of many autonomous sensors are gaining importance. Most wireless sensors have small batteries and must therefore be designed to consume very little power. In this paper, an approach for whole-system simulation for ultra-low power wireless sensor networks is proposed. To be able to estimate the power consumption of the whole netw...
Article
Full-text available
The constrained resources of sensor nodes limit analytical techniques and cost-time factors limit test beds to study wireless sensor networks (WSNs). Consequently, simulation becomes an essential tool to evaluate such systems.We present the power aware wireless sensors (PAWiS) simulation framework that supports design and simulation of wireless sen...
Conference Paper
Full-text available
Unlike the Internet, Wireless Sensor Networks (WSNs) have yet to result in wide deployment in the real world. The unique properties of wireless communication including mobility, rapidly changing and unpredictable link quality, limited resources in terms of computation and energy, opportunistic exploitation, environmental obstructions, and new desig...
Conference Paper
Full-text available
The PAWiS (power aware wireless sensors) simulation framework facilitates design and simulation of wireless sensor network models. Main focus is given to power efficiency and therefore on capturing inefficiencies in various aspect of the system. These aspects include all layers of the communication system, the targeted class of application itself,...
Article
The goal of the PAWiS project is to develop both, efficient system architectures and the related design methodology for power aware wireless sensor and actor network nodes that allow for capturing inefficiencies in every aspect of the system. These aspects include all layers of the communication system, the targeted class of the application itself,...

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