Dual Hierarchy for Gravitational n-body

The n-body problem is the simulation of pair-wise interactions between n objects. This problem appears in many forms, with the classic example being the modeling of gravitational forces between point masses, necessary for cosmological simulations. Many approximation approaches have been devised to reduce the complexity of this problem.<br/><br/...

COMPLEX: a cathedral for living in

COMPLEX is an alternative to contemporary 2.5d-housing where typologies are generic and flat. Every home in this building is unique and is aggregated and puzzled together using a created computer algorithm. A vaulted structural system creates structural freedom and helps define spaces.

Fair Mechanisms for Smart Grid Congestion Management

We consider energy systems in the built environment. With the transition to a more sustainable, distributed, and 'smart' energy system, such local grids are undergoing significant changes. Among other developments, the new role of end-users as 'prosumers' - users that can either produce or consume power depending on the situation - is turning...

Robust Algorithm for Signal Digital Detection on the Background of Non-Gaussian Passive Interferences

This paper proposes generalized mathematical model of different passive interferences and develops an effective algorithm of digital signal processing for detection on the background of them. Models of interferences as random process of K-distribution is used with parametrization for the unwanted reflections from atmosphere, land, and sea....

Skeleton-based Synthesis Flow for Computation-In-Memory Architectures

Memristor-based Computation-in-Memory (CIM) is one of the emerging architectures for next-generation Big Data problems. Its design requires a radically new synthesis flow as the memristor is a passive device that uses resistances to encode its logic values. This article proposes a synthesis flow for mapping parallel applications on memristor...

Electrical Impedance Tomography applications for the preterm neonate

Data analysis for electrical impedance tomography (EIT) research requires manual selection of sequences with a normal breathing pattern. This procedure is lengthy and the lack of a standardised approach results in different practices among EIT studies, limiting the potential and comparability of the research.<br/>This article presents a new...

Discretised Procedural Timber: An Investigation into robotic manufacturing & assembly for residential timber construction

This project seeks to investigate the multiple materialisation approaches of timber as a construction material for a residential/mixed use building sited in Berlin, Germany. Seeing as there is a major housing crisis Europe wide with the added concern of the growing environmental concern, this proposal aims to be the embodiment of applied...

A Conceptual Integrated Parametric Design Tool for Excavation Sites

Building Information Modelling (BIM) technologies are changing the conventional structural design process. BIM level-1 and level-2 are providing guidelines and frameworks for standardization with the standard Industry Foundation Classes (IFC) and collaborative design respectively. However, the predicted full potential of BIM, BIM level-3, which...

Study on route division for ship energy efficiency optimization based on big environment data

In the case of the global energy crisis and the higher sound of energy saving and emission reduction, how to take effective management measures of ship energy efficiency to achieve the goal of energy saving and emission reduction, put forward a new challenge for the development of shipping technology. The application of big data technology...

Learning state representation for deep actor-critic control

Deep Neural Networks (DNNs) can be used as function approximators in Reinforcement Learning (RL). One advantage of DNNs is that they can cope with large input dimensions. Instead of relying on feature engineering to lower the input dimension, DNNs can extract the features from raw observations. The drawback of this end-to-end learning is that it...

Receding-horizon control for max-plus linear systems with discrete actions using optimistic planning

This paper addresses the infinite-horizon optimal control problem for max-plus linear systems where the considered objective function is a sum of discounted stage costs over an infinite horizon. The minimization problem of the cost function is equivalently transformed into a maximization problem of a reward function. The resulting optimal...

Skeleton-based design and simulation flow for Computation-in-Memory architectures

Memristor-based Computation-in-Memory is one of the emerging architectures proposed to deal with Big Data problems. The design of such architectures requires a radically new automatic design flow because the memristor is a passive device that uses resistance to encode its logic value. This paper proposes a design flow for mapping parallel...

Using dedicated EV charging areas to resolve grid violations caused by renewable energy generation

EV Charging is expected to be a significant load on the grid in the future. But they can also be a part of the solution to grid violations. As the amount of renewable energy generation increases, there is a large amount of power flowing in the reverse direction in the distribution network, which is undesirable. To reduce this, EVs can charge at...