Streaming Algorithm for Euler Characteristic Curves of Multidimensional Images

We present an efficient algorithm to compute Euler characteristic curves of gray scale images of arbitrary dimension. In various applications the Euler characteristic curve is used as a descriptor of an image. Our algorithm is the first streaming algorithm for Euler characteristic curves. The usage of streaming removes the necessity to store the entire image in RAM. Experiments show that our implementation handles terabyte scale images on commodity hardware. Due to lock-free parallelism, it scales well with the number of processor cores. Our software---CHUNKYEuler---is available as open source on Bitbucket. Additionally, we put the concept of the Euler characteristic curve in the wider context of computational topology. In particular, we explain the connection with persistence diagrams

Making decisions about saving energy in compressed air systems using Ambient Intelligence and Artificial Intelligence

Compressed air systems are often the most expensive and inefficient industrial systems. For every 10 units of energy, less than 1 unit turns into useful compressed air. Air compressors tend to be kept fully on even if they are not (all) needed. The research proposed in this short paper will combinereal time ambient sensing with Artificial Intelligence andKnowledge Management to automatically improve efficiency in energy intensive manufacturing. The research will minimise energy use for air compressors based on real-time manufacturing conditions (and anticipated future requirements). Ambient datawill provide detailed information on performance. Artificial Intelligence will make sense of that data and automatically act. Knowledge Management will facilitate the processing of information to advise human operators on actions to reduce energy use and maintain productivity. The aim is to create new intelligent techniques to save energy in compressed air systems

Regulations, Infrastructure, Stakeholder Responsibilities, and Technology Requirements to Meet Challenges of Cargo Security

The NATO ARW Breakout Group Three discussed challenges of cargo security in view of regulations, infrastructure, stakeholder responsibilities, and elaborated on technology requirements to meet these challenges

A framework for dynamic context exploitation

While the benefits of exploiting Contextual Information (CI) are starting being recognized by the Information Fusion (IF) community [1], most current approaches for CI inclusion lead to stove-piped solutions that hardly scale or adapt to new input or situations. This paper makes a step in the direction of better CI exploitation by presenting some results of an international collaboration investigating the role of CI in IF and proposing an adaptive framework that dynamically takes into consideration CI to better support mission goals. In particular, we discuss some architecture concepts to be considered in the development of fusion systems including CI and we present how context can be dynamically exploited at different levels of a fusion engine. The concepts are illustrated in a maritime use-case. \ua9 2015 IEEE