New Anomalies in Topological String Theory

We show that the topological string partition function with D-branes on a compact Calabi-Yau manifold has new anomalies that spoil the recursive structure of the holomorphic anomaly equation and introduce dependence on wrong moduli (such as complex structure moduli in the A-model), unless the disk one-point functions vanish. This provides a microscopic explanation for the recent result of Walcher in arXiv:0712.2775 on counting of BPS states in M-theory using the topological string partition function. The relevance of vanishing disk one-point functions to large N duality for compact Calabi-Yau manifolds is noted

Collaboration on risk management: the governance of a non-potable water reuse scheme in London

Ageing water infrastructure and population growth, issues that are characteristic of megacities, are likely to exacerbate water supply deficits in London. To address this threat, wastewater reclamation and non-potable reuse can potentially close the supply-demand gap without impacting on environmental water bodies. There is a need to understand the types of challenges that diverse stakeholders face in relation to the governance of NPR schemes, and how those challenges might be addressed in a megacity context. A case study is used to explore these challenges for an operational sewer mining scheme in London, where reclaimed non-potable water is used for irrigation and toilet flushing at the site of the London 2012 Olympic Park. Through qualitative analysis of interview and document data, the results highlight that collaboration and learning opportunities are perceived as necessary to improve scheme governance. The findings indicate that formal and informal engagement activities centred on risk management can support the development of common understandings, build important inter-stakeholder relationships and help maintain trust. Non-potable reuse can contribute to the resilience of megacities through infrastructure diversification, but its feasibility will depend on the willingness of stakeholders to participate and continually negotiate new risk management practices

DATASET2050 D2.2 - Data-driven Model

The purpose of this document, Deliverable 2.2, is to build the structure and specifications of the DATASET2050 data driven model. The door-to-door process is complex and therefore direct performance measurement of the process cannot be done due to availability of data and the high number of involved stakeholders. There are additional phenomena that cannot be measured, so the approach to assess performance is by collecting sample data and/or model the different elements of the mobility processes. This modelling exercise, documented in D2.2, is a powerful tool that assesses how the process performs in the current scenario, and beyond that, identify bottlenecks how modelling paradigms can be improved to take Europe to the 4-hour door-to-door target. The model utilises data that has been sourced, analysed and documented thus far (D2.1), as well as the numerous inputs from the demand and supply profiles (WP3 and WP4, namely: D3.1 and D4.1). This deliverable documents how the model is to be built, along with its scope and the development strategy

Privacy Mining from IoT-based Smart Homes

Recently, a wide range of smart devices are deployed in a variety of environments to improve the quality of human life. One of the important IoT-based applications is smart homes for healthcare, especially for elders. IoT-based smart homes enable elders' health to be properly monitored and taken care of. However, elders' privacy might be disclosed from smart homes due to non-fully protected network communication or other reasons. To demonstrate how serious this issue is, we introduce in this paper a Privacy Mining Approach (PMA) to mine privacy from smart homes by conducting a series of deductions and analyses on sensor datasets generated by smart homes. The experimental results demonstrate that PMA is able to deduce a global sensor topology for a smart home and disclose elders' privacy in terms of their house layouts.Comment: This paper, which has 11 pages and 7 figures, has been accepted BWCCA 2018 on 13th August 201

Modus D4.1 Interface to modal choice model

This deliverable is the first deliverable of WP4 of the Modus project which aims to develop highly detailed low-level results on the present and future of the mobility of passengers in Europe based on flight and passenger metrics. The purpose of this document is to describe the methodology designed and developed to translate the output results of the modal choice model into individual passenger itineraries that are going to be used by the mobility models. Additionally, it outline so-far identified data requirements and processing needs to create valid input for the rest of the models developed in Modus: flight-centred airside model RNEST, passenger-centric airside model Mercury, and the landside model (i.e. door-to-door model)