25 research outputs found

    Library of Coastal Vulnerability Indicators guidance document

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    The Resilience-Increasing Strategies for Coasts – Toolkit (RISC-KIT) FP7 EU project (2013-2017) aims to produce a set of three innovative and EU-coherent open-source and open-access methods, tools and management approaches (the RISC-KIT) in support of coastal managers, decision-makers and policy makers to reduce risk and increase resilience to low-frequency, high impact hydro-meteorological events. Risk is defined within this project as the product of the probability of a hazard, the exposure of receptors and their vulnerability. Representing the vulnerability and the potential role of DRR in their reduction is crucial for supporting the decision. As such a specific task of the RISC-KIT project (Task 2.2) is dedicated to developing a Library of Vulnerability Indicators to input in the RISC-KIT Toolkit and to test the tools on 11 case studies. The deliverable “Coastal Vulnerability Indicator Library” is composed of a Microsoft Excel database and a guidance document. The deliverable introduces the necessary concepts and methods, provides a review and a collection of existing indicators and proposes methodologies for developing new indicators. The Library has been constructed around four categories: Built Environment, Population, Ecosystem and Systems. The Library also identifies Disaster Reduction Measures influencing vulnerability and proposes methods to include within the assessment of vulnerability

    Coastal risk assessment framework guidance document

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    The Resilience-Increasing Strategies for Coasts – Toolkit (RISC-KIT) FP7 EU project (2013-2017) aims to produce a set of three innovative and EU-coherent open-source and open-access methods, tools and management approaches (the RISC-KIT) in support of coastal managers, decision-makers and policy makers to reduce risk and increase resilience to low-frequency, high impact hydro-meteorological events. The Coastal Risk Assessment Framework (CRAF) is the first element of the risk assessment suite applied at a regional scale and permits a comprehensive and systematic approach to undertaking risk assessment at a variety of levels of detail. In particular, the approach reveals potential hotspots along the coasts. Hotspots are defined in the Toolkit as specific locations where high-resolution modelling and risk assessment are required to assess the coastal risk and to design and compare disaster risk reduction measures. As such, hotspots, or groups of hotspots, should be indicative of those areas where risk is highest. To do so the CRAF consists of a 2-phase approach, Phase 1 is a coastal-index approach to identifying potential hotspots, whereas Phase 2 utilises a suite of more complex modelling processes to rank these hotpots. The coastal INtegrated DisRuption Assessment model (INDRA) has specifically been developed as an open-source and open-access model for this purpose. This document provides guidance to CRAF users on both approaches, as well as explanations on the proposed methodologies. The CRAF is a prototype and will be trialled on the RISC-KIT case studies (WP5). Limitations in its application, the potential for a full application and the needs for further development will be discussed in Deliverable 5.1

    Reduction of Noise Spikes in Touch Screen Systems by Low Pass Spatial Filtering

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    This paper reports on a low-pass spatial filtering technique for reduction of noise spikes in capacitive touch screen panels. Filter bandwidth is adjusted by dynamically evaluating attenuation of signal and noise spikes. Based on the experimental results, we boost the signal-to-noise ratio by 15.6 dB and attenuate noise spikes by 19.25 dB. The processed signal yields higher detection accuracy and lower power consumption

    Reduction of Common Mode Noise and Global Multivalued Offset in Touch Screen Systems by Correlated Double Sampling

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    Touch-based interactivity has become an important function in displays. This paper reports on the signal processing of touch signals in which touch interactivity is processed as an image, and correlated double sampling (CDS) algorithm is applied for both common-mode noise reduction and global multivalued offset cancellation. Based on experimental results, we achieved a boost in SNR of 7.6 dB. The processed signal reduces detection errors and power consumption of the system
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